Model1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "Making neccesary imports \n",
    "\"\"\"\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import scipy\n",
    "from scipy.io import arff\n",
    "\n",
    "from sklearn.preprocessing import LabelEncoder, StandardScaler\n",
    "from sklearn.utils import shuffle\n",
    "from sklearn.model_selection import cross_val_score, train_test_split\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import accuracy_score\n",
    "\n",
    "from hyperopt import tpe, hp, fmin, STATUS_OK,Trials\n",
    "from hyperopt.pyll.base import scope"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "for file at wisdm-dataset/arff_files/phone/accel/data_1611_accel_phone.arffshape is: (404, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1630_accel_phone.arffshape is: (321, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1641_accel_phone.arffshape is: (803, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1624_accel_phone.arffshape is: (321, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1605_accel_phone.arffshape is: (406, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1601_accel_phone.arffshape is: (407, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1645_accel_phone.arffshape is: (803, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1620_accel_phone.arffshape is: (555, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1634_accel_phone.arffshape is: (321, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1615_accel_phone.arffshape is: (404, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1631_accel_phone.arffshape is: (321, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1610_accel_phone.arffshape is: (404, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1604_accel_phone.arffshape is: (321, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1625_accel_phone.arffshape is: (574, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1640_accel_phone.arffshape is: (324, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1621_accel_phone.arffshape is: (408, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1644_accel_phone.arffshape is: (803, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1600_accel_phone.arffshape is: (321, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1635_accel_phone.arffshape is: (644, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1650_accel_phone.arffshape is: (803, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1607_accel_phone.arffshape is: (383, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1639_accel_phone.arffshape is: (324, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1618_accel_phone.arffshape is: (303, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1626_accel_phone.arffshape is: (375, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1643_accel_phone.arffshape is: (759, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1632_accel_phone.arffshape is: (321, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1648_accel_phone.arffshape is: (803, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1613_accel_phone.arffshape is: (404, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1629_accel_phone.arffshape is: (348, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1617_accel_phone.arffshape is: (404, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1636_accel_phone.arffshape is: (321, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1608_accel_phone.arffshape is: (482, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1622_accel_phone.arffshape is: (321, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1647_accel_phone.arffshape is: (409, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1603_accel_phone.arffshape is: (409, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1642_accel_phone.arffshape is: (714, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1619_accel_phone.arffshape is: (407, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1627_accel_phone.arffshape is: (775, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1606_accel_phone.arffshape is: (321, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1638_accel_phone.arffshape is: (324, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1612_accel_phone.arffshape is: (404, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1649_accel_phone.arffshape is: (409, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1633_accel_phone.arffshape is: (429, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1637_accel_phone.arffshape is: (324, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1609_accel_phone.arffshape is: (306, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1628_accel_phone.arffshape is: (541, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1616_accel_phone.arffshape is: (404, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1602_accel_phone.arffshape is: (424, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1646_accel_phone.arffshape is: (803, 93)\n",
      "for file at wisdm-dataset/arff_files/phone/accel/data_1623_accel_phone.arffshape is: (455, 93)\n",
      "Shape of data:  (23074, 93)\n"
     ]
    },
    {
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       "      <th>count</th>\n",
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       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
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       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
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       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "      <td>23074.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.286300</td>\n",
       "      <td>0.174766</td>\n",
       "      <td>0.153323</td>\n",
       "      <td>0.127511</td>\n",
       "      <td>0.113369</td>\n",
       "      <td>0.122740</td>\n",
       "      <td>0.011498</td>\n",
       "      <td>0.004455</td>\n",
       "      <td>0.002360</td>\n",
       "      <td>0.003677</td>\n",
       "      <td>0.444564</td>\n",
       "      <td>0.160766</td>\n",
       "      <td>0.108104</td>\n",
       "      <td>0.081655</td>\n",
       "      <td>0.047574</td>\n",
       "      <td>0.116734</td>\n",
       "      <td>0.025588</td>\n",
       "      <td>0.006439</td>\n",
       "      <td>0.003615</td>\n",
       "      <td>0.004960</td>\n",
       "      <td>0.267592</td>\n",
       "      <td>0.241034</td>\n",
       "      <td>0.187288</td>\n",
       "      <td>0.117798</td>\n",
       "      <td>0.092283</td>\n",
       "      <td>0.087346</td>\n",
       "      <td>0.003055</td>\n",
       "      <td>0.001425</td>\n",
       "      <td>0.000857</td>\n",
       "      <td>0.001323</td>\n",
       "      <td>0.635941</td>\n",
       "      <td>-1.222940</td>\n",
       "      <td>0.237969</td>\n",
       "      <td>49.482422</td>\n",
       "      <td>48.574631</td>\n",
       "      <td>44.100662</td>\n",
       "      <td>1.032010</td>\n",
       "      <td>1.094064</td>\n",
       "      <td>0.952755</td>\n",
       "      <td>0.095627</td>\n",
       "      <td>0.099844</td>\n",
       "      <td>0.090961</td>\n",
       "      <td>0.233516</td>\n",
       "      <td>0.231194</td>\n",
       "      <td>0.231338</td>\n",
       "      <td>0.284676</td>\n",
       "      <td>0.402377</td>\n",
       "      <td>0.401731</td>\n",
       "      <td>0.400654</td>\n",
       "      <td>0.399149</td>\n",
       "      <td>0.397216</td>\n",
       "      <td>0.394857</td>\n",
       "      <td>0.392076</td>\n",
       "      <td>0.388875</td>\n",
       "      <td>0.385257</td>\n",
       "      <td>0.381227</td>\n",
       "      <td>0.376789</td>\n",
       "      <td>0.371947</td>\n",
       "      <td>0.276331</td>\n",
       "      <td>0.390582</td>\n",
       "      <td>0.389955</td>\n",
       "      <td>0.388910</td>\n",
       "      <td>0.387448</td>\n",
       "      <td>0.385572</td>\n",
       "      <td>0.383283</td>\n",
       "      <td>0.380583</td>\n",
       "      <td>0.377476</td>\n",
       "      <td>0.373964</td>\n",
       "      <td>0.370052</td>\n",
       "      <td>0.365744</td>\n",
       "      <td>0.361044</td>\n",
       "      <td>0.272830</td>\n",
       "      <td>0.385634</td>\n",
       "      <td>0.385014</td>\n",
       "      <td>0.383983</td>\n",
       "      <td>0.382540</td>\n",
       "      <td>0.380687</td>\n",
       "      <td>0.378427</td>\n",
       "      <td>0.375761</td>\n",
       "      <td>0.372693</td>\n",
       "      <td>0.369226</td>\n",
       "      <td>0.365364</td>\n",
       "      <td>0.361110</td>\n",
       "      <td>0.356470</td>\n",
       "      <td>0.077872</td>\n",
       "      <td>-0.034613</td>\n",
       "      <td>0.123174</td>\n",
       "      <td>-0.037359</td>\n",
       "      <td>0.026912</td>\n",
       "      <td>-0.007542</td>\n",
       "      <td>10.095703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.408534</td>\n",
       "      <td>0.296568</td>\n",
       "      <td>0.268249</td>\n",
       "      <td>0.271586</td>\n",
       "      <td>0.276431</td>\n",
       "      <td>0.300808</td>\n",
       "      <td>0.048297</td>\n",
       "      <td>0.019449</td>\n",
       "      <td>0.010885</td>\n",
       "      <td>0.021607</td>\n",
       "      <td>0.465237</td>\n",
       "      <td>0.325068</td>\n",
       "      <td>0.274509</td>\n",
       "      <td>0.243585</td>\n",
       "      <td>0.168535</td>\n",
       "      <td>0.277425</td>\n",
       "      <td>0.078746</td>\n",
       "      <td>0.023216</td>\n",
       "      <td>0.014684</td>\n",
       "      <td>0.024945</td>\n",
       "      <td>0.379247</td>\n",
       "      <td>0.323172</td>\n",
       "      <td>0.286859</td>\n",
       "      <td>0.259943</td>\n",
       "      <td>0.255854</td>\n",
       "      <td>0.266755</td>\n",
       "      <td>0.011948</td>\n",
       "      <td>0.005944</td>\n",
       "      <td>0.004175</td>\n",
       "      <td>0.008752</td>\n",
       "      <td>5.371801</td>\n",
       "      <td>6.412525</td>\n",
       "      <td>4.433881</td>\n",
       "      <td>16.058773</td>\n",
       "      <td>15.317661</td>\n",
       "      <td>12.033639</td>\n",
       "      <td>1.660467</td>\n",
       "      <td>1.916945</td>\n",
       "      <td>1.374184</td>\n",
       "      <td>0.150227</td>\n",
       "      <td>0.166625</td>\n",
       "      <td>0.130206</td>\n",
       "      <td>0.202729</td>\n",
       "      <td>0.215395</td>\n",
       "      <td>0.193509</td>\n",
       "      <td>0.128939</td>\n",
       "      <td>0.182249</td>\n",
       "      <td>0.181957</td>\n",
       "      <td>0.181469</td>\n",
       "      <td>0.180787</td>\n",
       "      <td>0.179912</td>\n",
       "      <td>0.178843</td>\n",
       "      <td>0.177584</td>\n",
       "      <td>0.176134</td>\n",
       "      <td>0.174495</td>\n",
       "      <td>0.172670</td>\n",
       "      <td>0.170660</td>\n",
       "      <td>0.168467</td>\n",
       "      <td>0.158076</td>\n",
       "      <td>0.223433</td>\n",
       "      <td>0.223074</td>\n",
       "      <td>0.222476</td>\n",
       "      <td>0.221640</td>\n",
       "      <td>0.220567</td>\n",
       "      <td>0.219257</td>\n",
       "      <td>0.217713</td>\n",
       "      <td>0.215935</td>\n",
       "      <td>0.213926</td>\n",
       "      <td>0.211689</td>\n",
       "      <td>0.209224</td>\n",
       "      <td>0.206536</td>\n",
       "      <td>0.132388</td>\n",
       "      <td>0.187124</td>\n",
       "      <td>0.186824</td>\n",
       "      <td>0.186323</td>\n",
       "      <td>0.185623</td>\n",
       "      <td>0.184724</td>\n",
       "      <td>0.183627</td>\n",
       "      <td>0.182334</td>\n",
       "      <td>0.180845</td>\n",
       "      <td>0.179163</td>\n",
       "      <td>0.177289</td>\n",
       "      <td>0.175225</td>\n",
       "      <td>0.172973</td>\n",
       "      <td>0.839202</td>\n",
       "      <td>0.798469</td>\n",
       "      <td>0.804191</td>\n",
       "      <td>0.409485</td>\n",
       "      <td>0.431765</td>\n",
       "      <td>0.389613</td>\n",
       "      <td>1.143357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-10.030300</td>\n",
       "      <td>-13.319900</td>\n",
       "      <td>-10.386900</td>\n",
       "      <td>25.128200</td>\n",
       "      <td>24.197500</td>\n",
       "      <td>24.936700</td>\n",
       "      <td>0.005392</td>\n",
       "      <td>0.004396</td>\n",
       "      <td>0.006570</td>\n",
       "      <td>0.000488</td>\n",
       "      <td>0.000392</td>\n",
       "      <td>0.000598</td>\n",
       "      <td>0.022095</td>\n",
       "      <td>0.019805</td>\n",
       "      <td>0.024458</td>\n",
       "      <td>-0.317022</td>\n",
       "      <td>-0.448097</td>\n",
       "      <td>-0.447377</td>\n",
       "      <td>-0.446178</td>\n",
       "      <td>-0.444501</td>\n",
       "      <td>-0.442349</td>\n",
       "      <td>-0.439722</td>\n",
       "      <td>-0.436625</td>\n",
       "      <td>-0.433060</td>\n",
       "      <td>-0.429032</td>\n",
       "      <td>-0.424544</td>\n",
       "      <td>-0.419601</td>\n",
       "      <td>-0.414209</td>\n",
       "      <td>-0.311492</td>\n",
       "      <td>-0.440281</td>\n",
       "      <td>-0.439573</td>\n",
       "      <td>-0.438395</td>\n",
       "      <td>-0.436748</td>\n",
       "      <td>-0.434633</td>\n",
       "      <td>-0.432052</td>\n",
       "      <td>-0.429009</td>\n",
       "      <td>-0.425506</td>\n",
       "      <td>-0.421548</td>\n",
       "      <td>-0.417138</td>\n",
       "      <td>-0.412282</td>\n",
       "      <td>-0.406984</td>\n",
       "      <td>-0.292249</td>\n",
       "      <td>-0.413082</td>\n",
       "      <td>-0.412418</td>\n",
       "      <td>-0.411313</td>\n",
       "      <td>-0.409767</td>\n",
       "      <td>-0.407783</td>\n",
       "      <td>-0.405361</td>\n",
       "      <td>-0.402506</td>\n",
       "      <td>-0.399220</td>\n",
       "      <td>-0.395506</td>\n",
       "      <td>-0.391369</td>\n",
       "      <td>-0.386813</td>\n",
       "      <td>-0.381842</td>\n",
       "      <td>-0.999993</td>\n",
       "      <td>-0.999997</td>\n",
       "      <td>-0.999988</td>\n",
       "      <td>-0.999833</td>\n",
       "      <td>-0.999966</td>\n",
       "      <td>-0.999915</td>\n",
       "      <td>9.092720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-2.834112</td>\n",
       "      <td>-7.391802</td>\n",
       "      <td>-2.150623</td>\n",
       "      <td>38.039200</td>\n",
       "      <td>37.307700</td>\n",
       "      <td>35.370400</td>\n",
       "      <td>0.047871</td>\n",
       "      <td>0.044686</td>\n",
       "      <td>0.046727</td>\n",
       "      <td>0.004670</td>\n",
       "      <td>0.004277</td>\n",
       "      <td>0.004409</td>\n",
       "      <td>0.068340</td>\n",
       "      <td>0.065398</td>\n",
       "      <td>0.066397</td>\n",
       "      <td>0.218693</td>\n",
       "      <td>0.309113</td>\n",
       "      <td>0.308616</td>\n",
       "      <td>0.307789</td>\n",
       "      <td>0.306633</td>\n",
       "      <td>0.305148</td>\n",
       "      <td>0.303336</td>\n",
       "      <td>0.301199</td>\n",
       "      <td>0.298740</td>\n",
       "      <td>0.295961</td>\n",
       "      <td>0.292865</td>\n",
       "      <td>0.289456</td>\n",
       "      <td>0.285736</td>\n",
       "      <td>0.177669</td>\n",
       "      <td>0.251127</td>\n",
       "      <td>0.250724</td>\n",
       "      <td>0.250052</td>\n",
       "      <td>0.249112</td>\n",
       "      <td>0.247906</td>\n",
       "      <td>0.246434</td>\n",
       "      <td>0.244698</td>\n",
       "      <td>0.242700</td>\n",
       "      <td>0.240442</td>\n",
       "      <td>0.237927</td>\n",
       "      <td>0.235157</td>\n",
       "      <td>0.232136</td>\n",
       "      <td>0.195921</td>\n",
       "      <td>0.276925</td>\n",
       "      <td>0.276480</td>\n",
       "      <td>0.275740</td>\n",
       "      <td>0.274703</td>\n",
       "      <td>0.273373</td>\n",
       "      <td>0.271749</td>\n",
       "      <td>0.269836</td>\n",
       "      <td>0.267632</td>\n",
       "      <td>0.265143</td>\n",
       "      <td>0.262369</td>\n",
       "      <td>0.259315</td>\n",
       "      <td>0.255983</td>\n",
       "      <td>-0.918505</td>\n",
       "      <td>-0.988325</td>\n",
       "      <td>-0.798872</td>\n",
       "      <td>-0.304844</td>\n",
       "      <td>-0.268840</td>\n",
       "      <td>-0.248961</td>\n",
       "      <td>9.549713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.180000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.035000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.565001</td>\n",
       "      <td>-1.827165</td>\n",
       "      <td>-0.173335</td>\n",
       "      <td>44.545500</td>\n",
       "      <td>44.186000</td>\n",
       "      <td>40.625000</td>\n",
       "      <td>0.227824</td>\n",
       "      <td>0.183657</td>\n",
       "      <td>0.242650</td>\n",
       "      <td>0.022017</td>\n",
       "      <td>0.017794</td>\n",
       "      <td>0.022800</td>\n",
       "      <td>0.148381</td>\n",
       "      <td>0.133393</td>\n",
       "      <td>0.150996</td>\n",
       "      <td>0.298164</td>\n",
       "      <td>0.421442</td>\n",
       "      <td>0.420765</td>\n",
       "      <td>0.419637</td>\n",
       "      <td>0.418061</td>\n",
       "      <td>0.416036</td>\n",
       "      <td>0.413566</td>\n",
       "      <td>0.410652</td>\n",
       "      <td>0.407300</td>\n",
       "      <td>0.403511</td>\n",
       "      <td>0.399290</td>\n",
       "      <td>0.394641</td>\n",
       "      <td>0.389570</td>\n",
       "      <td>0.318012</td>\n",
       "      <td>0.449495</td>\n",
       "      <td>0.448773</td>\n",
       "      <td>0.447570</td>\n",
       "      <td>0.445889</td>\n",
       "      <td>0.443729</td>\n",
       "      <td>0.441095</td>\n",
       "      <td>0.437988</td>\n",
       "      <td>0.434412</td>\n",
       "      <td>0.430370</td>\n",
       "      <td>0.425869</td>\n",
       "      <td>0.420911</td>\n",
       "      <td>0.415502</td>\n",
       "      <td>0.285320</td>\n",
       "      <td>0.403288</td>\n",
       "      <td>0.402639</td>\n",
       "      <td>0.401560</td>\n",
       "      <td>0.400052</td>\n",
       "      <td>0.398114</td>\n",
       "      <td>0.395751</td>\n",
       "      <td>0.392963</td>\n",
       "      <td>0.389755</td>\n",
       "      <td>0.386129</td>\n",
       "      <td>0.382090</td>\n",
       "      <td>0.377641</td>\n",
       "      <td>0.372788</td>\n",
       "      <td>0.211446</td>\n",
       "      <td>-0.033838</td>\n",
       "      <td>0.258554</td>\n",
       "      <td>-0.024511</td>\n",
       "      <td>0.029309</td>\n",
       "      <td>-0.009098</td>\n",
       "      <td>9.861035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.605000</td>\n",
       "      <td>0.220000</td>\n",
       "      <td>0.215000</td>\n",
       "      <td>0.105000</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.085000</td>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.390000</td>\n",
       "      <td>0.405000</td>\n",
       "      <td>0.270000</td>\n",
       "      <td>0.095000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.779027</td>\n",
       "      <td>3.411795</td>\n",
       "      <td>2.861398</td>\n",
       "      <td>57.272700</td>\n",
       "      <td>56.764700</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>1.420545</td>\n",
       "      <td>1.332315</td>\n",
       "      <td>1.453900</td>\n",
       "      <td>0.133165</td>\n",
       "      <td>0.133160</td>\n",
       "      <td>0.139960</td>\n",
       "      <td>0.364919</td>\n",
       "      <td>0.364911</td>\n",
       "      <td>0.374112</td>\n",
       "      <td>0.348059</td>\n",
       "      <td>0.491966</td>\n",
       "      <td>0.491176</td>\n",
       "      <td>0.489860</td>\n",
       "      <td>0.488019</td>\n",
       "      <td>0.485655</td>\n",
       "      <td>0.482772</td>\n",
       "      <td>0.479371</td>\n",
       "      <td>0.475458</td>\n",
       "      <td>0.471035</td>\n",
       "      <td>0.466107</td>\n",
       "      <td>0.460681</td>\n",
       "      <td>0.454761</td>\n",
       "      <td>0.368324</td>\n",
       "      <td>0.520610</td>\n",
       "      <td>0.519775</td>\n",
       "      <td>0.518382</td>\n",
       "      <td>0.516433</td>\n",
       "      <td>0.513932</td>\n",
       "      <td>0.510881</td>\n",
       "      <td>0.507282</td>\n",
       "      <td>0.503140</td>\n",
       "      <td>0.498460</td>\n",
       "      <td>0.493246</td>\n",
       "      <td>0.487503</td>\n",
       "      <td>0.481240</td>\n",
       "      <td>0.341466</td>\n",
       "      <td>0.482647</td>\n",
       "      <td>0.481872</td>\n",
       "      <td>0.480580</td>\n",
       "      <td>0.478774</td>\n",
       "      <td>0.476456</td>\n",
       "      <td>0.473627</td>\n",
       "      <td>0.470291</td>\n",
       "      <td>0.466451</td>\n",
       "      <td>0.462112</td>\n",
       "      <td>0.457278</td>\n",
       "      <td>0.451955</td>\n",
       "      <td>0.446147</td>\n",
       "      <td>0.984232</td>\n",
       "      <td>0.887327</td>\n",
       "      <td>0.993655</td>\n",
       "      <td>0.235043</td>\n",
       "      <td>0.325645</td>\n",
       "      <td>0.229610</td>\n",
       "      <td>10.147250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.295000</td>\n",
       "      <td>0.170000</td>\n",
       "      <td>0.335000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.260000</td>\n",
       "      <td>0.210000</td>\n",
       "      <td>0.315000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.300000</td>\n",
       "      <td>0.105000</td>\n",
       "      <td>0.090000</td>\n",
       "      <td>0.285000</td>\n",
       "      <td>12.117900</td>\n",
       "      <td>10.154700</td>\n",
       "      <td>9.992130</td>\n",
       "      <td>179.000000</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>15.081100</td>\n",
       "      <td>15.343600</td>\n",
       "      <td>10.835600</td>\n",
       "      <td>1.341400</td>\n",
       "      <td>1.363890</td>\n",
       "      <td>0.907750</td>\n",
       "      <td>1.158190</td>\n",
       "      <td>1.167860</td>\n",
       "      <td>0.952759</td>\n",
       "      <td>0.670055</td>\n",
       "      <td>0.947094</td>\n",
       "      <td>0.945573</td>\n",
       "      <td>0.943039</td>\n",
       "      <td>0.939495</td>\n",
       "      <td>0.934945</td>\n",
       "      <td>0.929394</td>\n",
       "      <td>0.922847</td>\n",
       "      <td>0.915313</td>\n",
       "      <td>0.906798</td>\n",
       "      <td>0.897312</td>\n",
       "      <td>0.886866</td>\n",
       "      <td>0.875470</td>\n",
       "      <td>0.656389</td>\n",
       "      <td>0.927777</td>\n",
       "      <td>0.926286</td>\n",
       "      <td>0.923804</td>\n",
       "      <td>0.920332</td>\n",
       "      <td>0.915875</td>\n",
       "      <td>0.910437</td>\n",
       "      <td>0.904024</td>\n",
       "      <td>0.896643</td>\n",
       "      <td>0.888302</td>\n",
       "      <td>0.879010</td>\n",
       "      <td>0.868777</td>\n",
       "      <td>0.857613</td>\n",
       "      <td>0.632804</td>\n",
       "      <td>0.894441</td>\n",
       "      <td>0.893004</td>\n",
       "      <td>0.890611</td>\n",
       "      <td>0.887264</td>\n",
       "      <td>0.882967</td>\n",
       "      <td>0.877725</td>\n",
       "      <td>0.871542</td>\n",
       "      <td>0.864427</td>\n",
       "      <td>0.856385</td>\n",
       "      <td>0.847427</td>\n",
       "      <td>0.837561</td>\n",
       "      <td>0.826799</td>\n",
       "      <td>0.999996</td>\n",
       "      <td>0.999997</td>\n",
       "      <td>0.999996</td>\n",
       "      <td>0.999944</td>\n",
       "      <td>0.999865</td>\n",
       "      <td>0.999935</td>\n",
       "      <td>23.154900</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               \"X0\"          \"X1\"          \"X2\"          \"X3\"          \"X4\"  \\\n",
       "count  23074.000000  23074.000000  23074.000000  23074.000000  23074.000000   \n",
       "mean       0.286300      0.174766      0.153323      0.127511      0.113369   \n",
       "std        0.408534      0.296568      0.268249      0.271586      0.276431   \n",
       "min        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "25%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "50%        0.015000      0.000000      0.000000      0.000000      0.000000   \n",
       "75%        0.605000      0.220000      0.215000      0.105000      0.050000   \n",
       "max        1.000000      1.000000      1.000000      1.000000      1.000000   \n",
       "\n",
       "               \"X5\"          \"X6\"          \"X7\"          \"X8\"          \"X9\"  \\\n",
       "count  23074.000000  23074.000000  23074.000000  23074.000000  23074.000000   \n",
       "mean       0.122740      0.011498      0.004455      0.002360      0.003677   \n",
       "std        0.300808      0.048297      0.019449      0.010885      0.021607   \n",
       "min        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "25%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "50%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "75%        0.020000      0.000000      0.000000      0.000000      0.000000   \n",
       "max        1.000000      1.000000      0.295000      0.170000      0.335000   \n",
       "\n",
       "               \"Y0\"          \"Y1\"          \"Y2\"          \"Y3\"          \"Y4\"  \\\n",
       "count  23074.000000  23074.000000  23074.000000  23074.000000  23074.000000   \n",
       "mean       0.444564      0.160766      0.108104      0.081655      0.047574   \n",
       "std        0.465237      0.325068      0.274509      0.243585      0.168535   \n",
       "min        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "25%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "50%        0.180000      0.000000      0.000000      0.000000      0.000000   \n",
       "75%        1.000000      0.085000      0.025000      0.010000      0.000000   \n",
       "max        1.000000      1.000000      1.000000      1.000000      1.000000   \n",
       "\n",
       "               \"Y5\"          \"Y6\"          \"Y7\"          \"Y8\"          \"Y9\"  \\\n",
       "count  23074.000000  23074.000000  23074.000000  23074.000000  23074.000000   \n",
       "mean       0.116734      0.025588      0.006439      0.003615      0.004960   \n",
       "std        0.277425      0.078746      0.023216      0.014684      0.024945   \n",
       "min        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "25%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "50%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "75%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "max        1.000000      0.995000      0.260000      0.210000      0.315000   \n",
       "\n",
       "               \"Z0\"          \"Z1\"          \"Z2\"          \"Z3\"          \"Z4\"  \\\n",
       "count  23074.000000  23074.000000  23074.000000  23074.000000  23074.000000   \n",
       "mean       0.267592      0.241034      0.187288      0.117798      0.092283   \n",
       "std        0.379247      0.323172      0.286859      0.259943      0.255854   \n",
       "min        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "25%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "50%        0.035000      0.030000      0.005000      0.000000      0.000000   \n",
       "75%        0.390000      0.405000      0.270000      0.095000      0.030000   \n",
       "max        1.000000      1.000000      1.000000      1.000000      1.000000   \n",
       "\n",
       "               \"Z5\"          \"Z6\"          \"Z7\"          \"Z8\"          \"Z9\"  \\\n",
       "count  23074.000000  23074.000000  23074.000000  23074.000000  23074.000000   \n",
       "mean       0.087346      0.003055      0.001425      0.000857      0.001323   \n",
       "std        0.266755      0.011948      0.005944      0.004175      0.008752   \n",
       "min        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "25%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "50%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "75%        0.005000      0.000000      0.000000      0.000000      0.000000   \n",
       "max        1.000000      0.300000      0.105000      0.090000      0.285000   \n",
       "\n",
       "             \"XAVG\"        \"YAVG\"        \"ZAVG\"       \"XPEAK\"       \"YPEAK\"  \\\n",
       "count  23074.000000  23074.000000  23074.000000  23074.000000  23074.000000   \n",
       "mean       0.635941     -1.222940      0.237969     49.482422     48.574631   \n",
       "std        5.371801      6.412525      4.433881     16.058773     15.317661   \n",
       "min      -10.030300    -13.319900    -10.386900     25.128200     24.197500   \n",
       "25%       -2.834112     -7.391802     -2.150623     38.039200     37.307700   \n",
       "50%        0.565001     -1.827165     -0.173335     44.545500     44.186000   \n",
       "75%        4.779027      3.411795      2.861398     57.272700     56.764700   \n",
       "max       12.117900     10.154700      9.992130    179.000000    200.000000   \n",
       "\n",
       "            \"ZPEAK\"   \"XABSOLDEV\"   \"YABSOLDEV\"   \"ZABSOLDEV\"   \"XSTANDDEV\"  \\\n",
       "count  23074.000000  23074.000000  23074.000000  23074.000000  23074.000000   \n",
       "mean      44.100662      1.032010      1.094064      0.952755      0.095627   \n",
       "std       12.033639      1.660467      1.916945      1.374184      0.150227   \n",
       "min       24.936700      0.005392      0.004396      0.006570      0.000488   \n",
       "25%       35.370400      0.047871      0.044686      0.046727      0.004670   \n",
       "50%       40.625000      0.227824      0.183657      0.242650      0.022017   \n",
       "75%       50.000000      1.420545      1.332315      1.453900      0.133165   \n",
       "max      173.000000     15.081100     15.343600     10.835600      1.341400   \n",
       "\n",
       "        \"YSTANDDEV\"   \"ZSTANDDEV\"        \"XVAR\"        \"YVAR\"        \"ZVAR\"  \\\n",
       "count  23074.000000  23074.000000  23074.000000  23074.000000  23074.000000   \n",
       "mean       0.099844      0.090961      0.233516      0.231194      0.231338   \n",
       "std        0.166625      0.130206      0.202729      0.215395      0.193509   \n",
       "min        0.000392      0.000598      0.022095      0.019805      0.024458   \n",
       "25%        0.004277      0.004409      0.068340      0.065398      0.066397   \n",
       "50%        0.017794      0.022800      0.148381      0.133393      0.150996   \n",
       "75%        0.133160      0.139960      0.364919      0.364911      0.374112   \n",
       "max        1.363890      0.907750      1.158190      1.167860      0.952759   \n",
       "\n",
       "           \"XMFCC0\"      \"XMFCC1\"      \"XMFCC2\"      \"XMFCC3\"      \"XMFCC4\"  \\\n",
       "count  23074.000000  23074.000000  23074.000000  23074.000000  23074.000000   \n",
       "mean       0.284676      0.402377      0.401731      0.400654      0.399149   \n",
       "std        0.128939      0.182249      0.181957      0.181469      0.180787   \n",
       "min       -0.317022     -0.448097     -0.447377     -0.446178     -0.444501   \n",
       "25%        0.218693      0.309113      0.308616      0.307789      0.306633   \n",
       "50%        0.298164      0.421442      0.420765      0.419637      0.418061   \n",
       "75%        0.348059      0.491966      0.491176      0.489860      0.488019   \n",
       "max        0.670055      0.947094      0.945573      0.943039      0.939495   \n",
       "\n",
       "           \"XMFCC5\"      \"XMFCC6\"      \"XMFCC7\"      \"XMFCC8\"      \"XMFCC9\"  \\\n",
       "count  23074.000000  23074.000000  23074.000000  23074.000000  23074.000000   \n",
       "mean       0.397216      0.394857      0.392076      0.388875      0.385257   \n",
       "std        0.179912      0.178843      0.177584      0.176134      0.174495   \n",
       "min       -0.442349     -0.439722     -0.436625     -0.433060     -0.429032   \n",
       "25%        0.305148      0.303336      0.301199      0.298740      0.295961   \n",
       "50%        0.416036      0.413566      0.410652      0.407300      0.403511   \n",
       "75%        0.485655      0.482772      0.479371      0.475458      0.471035   \n",
       "max        0.934945      0.929394      0.922847      0.915313      0.906798   \n",
       "\n",
       "          \"XMFCC10\"     \"XMFCC11\"     \"XMFCC12\"      \"YMFCC0\"      \"YMFCC1\"  \\\n",
       "count  23074.000000  23074.000000  23074.000000  23074.000000  23074.000000   \n",
       "mean       0.381227      0.376789      0.371947      0.276331      0.390582   \n",
       "std        0.172670      0.170660      0.168467      0.158076      0.223433   \n",
       "min       -0.424544     -0.419601     -0.414209     -0.311492     -0.440281   \n",
       "25%        0.292865      0.289456      0.285736      0.177669      0.251127   \n",
       "50%        0.399290      0.394641      0.389570      0.318012      0.449495   \n",
       "75%        0.466107      0.460681      0.454761      0.368324      0.520610   \n",
       "max        0.897312      0.886866      0.875470      0.656389      0.927777   \n",
       "\n",
       "           \"YMFCC2\"      \"YMFCC3\"      \"YMFCC4\"      \"YMFCC5\"      \"YMFCC6\"  \\\n",
       "count  23074.000000  23074.000000  23074.000000  23074.000000  23074.000000   \n",
       "mean       0.389955      0.388910      0.387448      0.385572      0.383283   \n",
       "std        0.223074      0.222476      0.221640      0.220567      0.219257   \n",
       "min       -0.439573     -0.438395     -0.436748     -0.434633     -0.432052   \n",
       "25%        0.250724      0.250052      0.249112      0.247906      0.246434   \n",
       "50%        0.448773      0.447570      0.445889      0.443729      0.441095   \n",
       "75%        0.519775      0.518382      0.516433      0.513932      0.510881   \n",
       "max        0.926286      0.923804      0.920332      0.915875      0.910437   \n",
       "\n",
       "           \"YMFCC7\"      \"YMFCC8\"      \"YMFCC9\"     \"YMFCC10\"     \"YMFCC11\"  \\\n",
       "count  23074.000000  23074.000000  23074.000000  23074.000000  23074.000000   \n",
       "mean       0.380583      0.377476      0.373964      0.370052      0.365744   \n",
       "std        0.217713      0.215935      0.213926      0.211689      0.209224   \n",
       "min       -0.429009     -0.425506     -0.421548     -0.417138     -0.412282   \n",
       "25%        0.244698      0.242700      0.240442      0.237927      0.235157   \n",
       "50%        0.437988      0.434412      0.430370      0.425869      0.420911   \n",
       "75%        0.507282      0.503140      0.498460      0.493246      0.487503   \n",
       "max        0.904024      0.896643      0.888302      0.879010      0.868777   \n",
       "\n",
       "          \"YMFCC12\"      \"ZMFCC0\"      \"ZMFCC1\"      \"ZMFCC2\"      \"ZMFCC3\"  \\\n",
       "count  23074.000000  23074.000000  23074.000000  23074.000000  23074.000000   \n",
       "mean       0.361044      0.272830      0.385634      0.385014      0.383983   \n",
       "std        0.206536      0.132388      0.187124      0.186824      0.186323   \n",
       "min       -0.406984     -0.292249     -0.413082     -0.412418     -0.411313   \n",
       "25%        0.232136      0.195921      0.276925      0.276480      0.275740   \n",
       "50%        0.415502      0.285320      0.403288      0.402639      0.401560   \n",
       "75%        0.481240      0.341466      0.482647      0.481872      0.480580   \n",
       "max        0.857613      0.632804      0.894441      0.893004      0.890611   \n",
       "\n",
       "           \"ZMFCC4\"      \"ZMFCC5\"      \"ZMFCC6\"      \"ZMFCC7\"      \"ZMFCC8\"  \\\n",
       "count  23074.000000  23074.000000  23074.000000  23074.000000  23074.000000   \n",
       "mean       0.382540      0.380687      0.378427      0.375761      0.372693   \n",
       "std        0.185623      0.184724      0.183627      0.182334      0.180845   \n",
       "min       -0.409767     -0.407783     -0.405361     -0.402506     -0.399220   \n",
       "25%        0.274703      0.273373      0.271749      0.269836      0.267632   \n",
       "50%        0.400052      0.398114      0.395751      0.392963      0.389755   \n",
       "75%        0.478774      0.476456      0.473627      0.470291      0.466451   \n",
       "max        0.887264      0.882967      0.877725      0.871542      0.864427   \n",
       "\n",
       "           \"ZMFCC9\"     \"ZMFCC10\"     \"ZMFCC11\"     \"ZMFCC12\"       \"XYCOS\"  \\\n",
       "count  23074.000000  23074.000000  23074.000000  23074.000000  23074.000000   \n",
       "mean       0.369226      0.365364      0.361110      0.356470      0.077872   \n",
       "std        0.179163      0.177289      0.175225      0.172973      0.839202   \n",
       "min       -0.395506     -0.391369     -0.386813     -0.381842     -0.999993   \n",
       "25%        0.265143      0.262369      0.259315      0.255983     -0.918505   \n",
       "50%        0.386129      0.382090      0.377641      0.372788      0.211446   \n",
       "75%        0.462112      0.457278      0.451955      0.446147      0.984232   \n",
       "max        0.856385      0.847427      0.837561      0.826799      0.999996   \n",
       "\n",
       "            \"XZCOS\"       \"YZCOS\"       \"XYCOR\"       \"XZCOR\"       \"YZCOR\"  \\\n",
       "count  23074.000000  23074.000000  23074.000000  23074.000000  23074.000000   \n",
       "mean      -0.034613      0.123174     -0.037359      0.026912     -0.007542   \n",
       "std        0.798469      0.804191      0.409485      0.431765      0.389613   \n",
       "min       -0.999997     -0.999988     -0.999833     -0.999966     -0.999915   \n",
       "25%       -0.988325     -0.798872     -0.304844     -0.268840     -0.248961   \n",
       "50%       -0.033838      0.258554     -0.024511      0.029309     -0.009098   \n",
       "75%        0.887327      0.993655      0.235043      0.325645      0.229610   \n",
       "max        0.999997      0.999996      0.999944      0.999865      0.999935   \n",
       "\n",
       "        \"RESULTANT\"  \n",
       "count  23074.000000  \n",
       "mean      10.095703  \n",
       "std        1.143357  \n",
       "min        9.092720  \n",
       "25%        9.549713  \n",
       "50%        9.861035  \n",
       "75%       10.147250  \n",
       "max       23.154900  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "Reading the .arff files for phone accel sensor and storing them in a dataframe.\n",
    "\"\"\"\n",
    "\n",
    "phone_accel_df = pd.DataFrame()\n",
    "filenames = os.listdir('wisdm-dataset/arff_files/phone/accel')\n",
    "filenames.pop(6)\n",
    "\n",
    "for file in filenames:\n",
    "    path = \"wisdm-dataset/arff_files/phone/accel/\" + file\n",
    "    data = arff.loadarff(path)\n",
    "    df = pd.DataFrame(data[0])\n",
    "    print(\"for file at \" + path + \"shape is: \" + str(df.shape))\n",
    "    frames = [df, phone_accel_df]\n",
    "    phone_accel_df = pd.concat(frames, sort = False)\n",
    "\n",
    "\"\"\"\n",
    "Setting data options\n",
    "\"\"\"\n",
    "print(\"Shape of data: \", phone_accel_df.shape)\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)\n",
    "phone_accel_df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\nReading the .arff files for phone gyro sensor and storing them in a dataframe.\\n'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "Reading the .arff files for phone gyro sensor and storing them in a dataframe.\n",
    "\"\"\"\n",
    "\n",
    "# phone_gyro_df = pd.DataFrame()\n",
    "# filenames = os.listdir('wisdm-dataset/arff_files/phone/gyro')\n",
    "# filenames.pop(0)\n",
    "# for file in filenames:\n",
    "#     path = \"wisdm-dataset/arff_files/phone/gyro/\" + file\n",
    "#     data = arff.loadarff(path)\n",
    "#     df = pd.DataFrame(data[0])\n",
    "#     print(\"for file at \" + path + \"shape is: \" + str(df.shape))\n",
    "#     frames = [df, phone_accel_df]\n",
    "#     phone_accel_df = pd.concat(frames, sort = False)\n",
    "\n",
    "# \"\"\"\n",
    "# Setting data options\n",
    "# \"\"\"\n",
    "# print(\"Shape of data: \", phone_accel_df.shape)\n",
    "# pd.set_option('display.max_columns', None)\n",
    "# pd.set_option('display.max_rows', None)\n",
    "# phone_accel_df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\nReading the .arff files for watch accel sensor and storing them in a dataframe.\\n'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "Reading the .arff files for watch accel sensor and storing them in a dataframe.\n",
    "\"\"\"\n",
    "\n",
    "# watch_accel_df = pd.DataFrame()\n",
    "# filenames = os.listdir('wisdm-dataset/arff_files/watch/accel')\n",
    "# filenames.pop(0)\n",
    "# for file in filenames:\n",
    "#     path = \"wisdm-dataset/arff_files/watch/accel/\" + file\n",
    "#     data = arff.loadarff(path)\n",
    "#     df = pd.DataFrame(data[0])\n",
    "#     print(\"for file at \" + path + \"shape is: \" + str(df.shape))\n",
    "#     frames = [df, watch_accel_df]\n",
    "#     watch_accel_df = pd.concat(frames, sort = False)\n",
    "    \n",
    "# print(watch_accel_df.shape)\n",
    "\n",
    "# \"\"\"\n",
    "# Setting data options\n",
    "# \"\"\"\n",
    "# print(\"Shape of data: \", phone_accel_df.shape)\n",
    "# pd.set_option('display.max_columns', None)\n",
    "# pd.set_option('display.max_rows', None)\n",
    "# phone_accel_df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\nReading the .arff files for watch gyro sensor and storing them in a dataframe.\\n'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "Reading the .arff files for watch gyro sensor and storing them in a dataframe.\n",
    "\"\"\"\n",
    "\n",
    "# watch_gyro_df = pd.DataFrame()\n",
    "# filenames = os.listdir('wisdm-dataset/arff_files/watch/gyro')\n",
    "# filenames.pop(0)\n",
    "# for file in filenames:\n",
    "#     path = \"wisdm-dataset/arff_files/watch/gyro/\" + file\n",
    "#     data = arff.loadarff(path)\n",
    "#     df = pd.DataFrame(data[0])\n",
    "#     print(\"for file at \" + path + \"shape is: \" + str(df.shape))\n",
    "#     frames = [df, watch_gyro_df]\n",
    "#     watch_gyro_df = pd.concat(frames, sort = False)\n",
    "    \n",
    "# print(watch_gyro_df.shape)\n",
    "\n",
    "# \"\"\"\n",
    "# Setting data options\n",
    "# \"\"\"\n",
    "# print(\"Shape of data: \", phone_accel_df.shape)\n",
    "# pd.set_option('display.max_columns', None)\n",
    "# pd.set_option('display.max_rows', None)\n",
    "# phone_accel_df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\nCombining all data into one dataframe\\n'"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "Combining all data into one dataframe\n",
    "\"\"\"\n",
    "\n",
    "# database = pd.DataFrame()\n",
    "# frames_to_merge = [phone_gyro_df, phone_accel_df, watch_gyro_df, watch_accel_df]\n",
    "# database = pd.concat(frames_to_merge, sort = False)\n",
    "# database.shape\n",
    "# database.head()\n",
    "# database.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ACTIVITY</th>\n",
       "      <th>X0</th>\n",
       "      <th>X1</th>\n",
       "      <th>X2</th>\n",
       "      <th>X3</th>\n",
       "      <th>X4</th>\n",
       "      <th>X5</th>\n",
       "      <th>X6</th>\n",
       "      <th>X7</th>\n",
       "      <th>X8</th>\n",
       "      <th>X9</th>\n",
       "      <th>Y0</th>\n",
       "      <th>Y1</th>\n",
       "      <th>Y2</th>\n",
       "      <th>Y3</th>\n",
       "      <th>Y4</th>\n",
       "      <th>Y5</th>\n",
       "      <th>Y6</th>\n",
       "      <th>Y7</th>\n",
       "      <th>Y8</th>\n",
       "      <th>Y9</th>\n",
       "      <th>Z0</th>\n",
       "      <th>Z1</th>\n",
       "      <th>Z2</th>\n",
       "      <th>Z3</th>\n",
       "      <th>Z4</th>\n",
       "      <th>Z5</th>\n",
       "      <th>Z6</th>\n",
       "      <th>Z7</th>\n",
       "      <th>Z8</th>\n",
       "      <th>Z9</th>\n",
       "      <th>XAVG</th>\n",
       "      <th>YAVG</th>\n",
       "      <th>ZAVG</th>\n",
       "      <th>XPEAK</th>\n",
       "      <th>YPEAK</th>\n",
       "      <th>ZPEAK</th>\n",
       "      <th>XABSOLDEV</th>\n",
       "      <th>YABSOLDEV</th>\n",
       "      <th>ZABSOLDEV</th>\n",
       "      <th>XSTANDDEV</th>\n",
       "      <th>YSTANDDEV</th>\n",
       "      <th>ZSTANDDEV</th>\n",
       "      <th>XVAR</th>\n",
       "      <th>YVAR</th>\n",
       "      <th>ZVAR</th>\n",
       "      <th>XMFCC0</th>\n",
       "      <th>XMFCC1</th>\n",
       "      <th>XMFCC2</th>\n",
       "      <th>XMFCC3</th>\n",
       "      <th>XMFCC4</th>\n",
       "      <th>XMFCC5</th>\n",
       "      <th>XMFCC6</th>\n",
       "      <th>XMFCC7</th>\n",
       "      <th>XMFCC8</th>\n",
       "      <th>XMFCC9</th>\n",
       "      <th>XMFCC10</th>\n",
       "      <th>XMFCC11</th>\n",
       "      <th>XMFCC12</th>\n",
       "      <th>YMFCC0</th>\n",
       "      <th>YMFCC1</th>\n",
       "      <th>YMFCC2</th>\n",
       "      <th>YMFCC3</th>\n",
       "      <th>YMFCC4</th>\n",
       "      <th>YMFCC5</th>\n",
       "      <th>YMFCC6</th>\n",
       "      <th>YMFCC7</th>\n",
       "      <th>YMFCC8</th>\n",
       "      <th>YMFCC9</th>\n",
       "      <th>YMFCC10</th>\n",
       "      <th>YMFCC11</th>\n",
       "      <th>YMFCC12</th>\n",
       "      <th>ZMFCC0</th>\n",
       "      <th>ZMFCC1</th>\n",
       "      <th>ZMFCC2</th>\n",
       "      <th>ZMFCC3</th>\n",
       "      <th>ZMFCC4</th>\n",
       "      <th>ZMFCC5</th>\n",
       "      <th>ZMFCC6</th>\n",
       "      <th>ZMFCC7</th>\n",
       "      <th>ZMFCC8</th>\n",
       "      <th>ZMFCC9</th>\n",
       "      <th>ZMFCC10</th>\n",
       "      <th>ZMFCC11</th>\n",
       "      <th>ZMFCC12</th>\n",
       "      <th>XYCOS</th>\n",
       "      <th>XZCOS</th>\n",
       "      <th>YZCOS</th>\n",
       "      <th>XYCOR</th>\n",
       "      <th>XZCOR</th>\n",
       "      <th>YZCOR</th>\n",
       "      <th>RESULTANT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>525</th>\n",
       "      <td>12</td>\n",
       "      <td>0.060</td>\n",
       "      <td>0.440</td>\n",
       "      <td>0.450</td>\n",
       "      <td>0.045</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.740</td>\n",
       "      <td>0.220</td>\n",
       "      <td>0.035</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.022354</td>\n",
       "      <td>-9.238370</td>\n",
       "      <td>-3.382560</td>\n",
       "      <td>65.0000</td>\n",
       "      <td>64.0000</td>\n",
       "      <td>50.0000</td>\n",
       "      <td>1.249520</td>\n",
       "      <td>0.754437</td>\n",
       "      <td>1.430140</td>\n",
       "      <td>0.116022</td>\n",
       "      <td>0.074189</td>\n",
       "      <td>0.151440</td>\n",
       "      <td>0.340620</td>\n",
       "      <td>0.272376</td>\n",
       "      <td>0.389153</td>\n",
       "      <td>0.289729</td>\n",
       "      <td>0.409520</td>\n",
       "      <td>0.408862</td>\n",
       "      <td>0.407766</td>\n",
       "      <td>0.406234</td>\n",
       "      <td>0.404266</td>\n",
       "      <td>0.401866</td>\n",
       "      <td>0.399035</td>\n",
       "      <td>0.395777</td>\n",
       "      <td>0.392096</td>\n",
       "      <td>0.387994</td>\n",
       "      <td>0.383477</td>\n",
       "      <td>0.378549</td>\n",
       "      <td>0.362564</td>\n",
       "      <td>0.512469</td>\n",
       "      <td>0.511646</td>\n",
       "      <td>0.510274</td>\n",
       "      <td>0.508357</td>\n",
       "      <td>0.505895</td>\n",
       "      <td>0.502891</td>\n",
       "      <td>0.499349</td>\n",
       "      <td>0.495272</td>\n",
       "      <td>0.490665</td>\n",
       "      <td>0.485532</td>\n",
       "      <td>0.479880</td>\n",
       "      <td>0.473713</td>\n",
       "      <td>0.367632</td>\n",
       "      <td>0.519632</td>\n",
       "      <td>0.518798</td>\n",
       "      <td>0.517407</td>\n",
       "      <td>0.515463</td>\n",
       "      <td>0.512967</td>\n",
       "      <td>0.509921</td>\n",
       "      <td>0.506329</td>\n",
       "      <td>0.502195</td>\n",
       "      <td>0.497524</td>\n",
       "      <td>0.492319</td>\n",
       "      <td>0.486588</td>\n",
       "      <td>0.480335</td>\n",
       "      <td>-0.037445</td>\n",
       "      <td>0.067573</td>\n",
       "      <td>0.822516</td>\n",
       "      <td>-0.211898</td>\n",
       "      <td>0.147848</td>\n",
       "      <td>-0.281207</td>\n",
       "      <td>10.17730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1</td>\n",
       "      <td>0.100</td>\n",
       "      <td>0.115</td>\n",
       "      <td>0.100</td>\n",
       "      <td>0.150</td>\n",
       "      <td>0.105</td>\n",
       "      <td>0.095</td>\n",
       "      <td>0.080</td>\n",
       "      <td>0.115</td>\n",
       "      <td>0.075</td>\n",
       "      <td>0.065</td>\n",
       "      <td>0.225</td>\n",
       "      <td>0.085</td>\n",
       "      <td>0.110</td>\n",
       "      <td>0.100</td>\n",
       "      <td>0.055</td>\n",
       "      <td>0.065</td>\n",
       "      <td>0.065</td>\n",
       "      <td>0.080</td>\n",
       "      <td>0.080</td>\n",
       "      <td>0.135</td>\n",
       "      <td>0.320</td>\n",
       "      <td>0.150</td>\n",
       "      <td>0.205</td>\n",
       "      <td>0.150</td>\n",
       "      <td>0.090</td>\n",
       "      <td>0.025</td>\n",
       "      <td>0.015</td>\n",
       "      <td>0.010</td>\n",
       "      <td>0.015</td>\n",
       "      <td>0.020</td>\n",
       "      <td>6.315620</td>\n",
       "      <td>5.709140</td>\n",
       "      <td>-0.161829</td>\n",
       "      <td>58.4848</td>\n",
       "      <td>63.2258</td>\n",
       "      <td>33.9286</td>\n",
       "      <td>6.089790</td>\n",
       "      <td>7.707600</td>\n",
       "      <td>5.083910</td>\n",
       "      <td>0.515187</td>\n",
       "      <td>0.623854</td>\n",
       "      <td>0.487054</td>\n",
       "      <td>0.717766</td>\n",
       "      <td>0.789845</td>\n",
       "      <td>0.697892</td>\n",
       "      <td>0.511817</td>\n",
       "      <td>0.723431</td>\n",
       "      <td>0.722269</td>\n",
       "      <td>0.720334</td>\n",
       "      <td>0.717627</td>\n",
       "      <td>0.714151</td>\n",
       "      <td>0.709911</td>\n",
       "      <td>0.704911</td>\n",
       "      <td>0.699155</td>\n",
       "      <td>0.692652</td>\n",
       "      <td>0.685406</td>\n",
       "      <td>0.677426</td>\n",
       "      <td>0.668721</td>\n",
       "      <td>0.508421</td>\n",
       "      <td>0.718631</td>\n",
       "      <td>0.717476</td>\n",
       "      <td>0.715553</td>\n",
       "      <td>0.712864</td>\n",
       "      <td>0.709412</td>\n",
       "      <td>0.705200</td>\n",
       "      <td>0.700233</td>\n",
       "      <td>0.694516</td>\n",
       "      <td>0.688055</td>\n",
       "      <td>0.680857</td>\n",
       "      <td>0.672931</td>\n",
       "      <td>0.664284</td>\n",
       "      <td>0.542190</td>\n",
       "      <td>0.766362</td>\n",
       "      <td>0.765131</td>\n",
       "      <td>0.763080</td>\n",
       "      <td>0.760213</td>\n",
       "      <td>0.756531</td>\n",
       "      <td>0.752039</td>\n",
       "      <td>0.746742</td>\n",
       "      <td>0.740645</td>\n",
       "      <td>0.733756</td>\n",
       "      <td>0.726080</td>\n",
       "      <td>0.717627</td>\n",
       "      <td>0.708405</td>\n",
       "      <td>0.793341</td>\n",
       "      <td>-0.100665</td>\n",
       "      <td>-0.366159</td>\n",
       "      <td>0.689629</td>\n",
       "      <td>-0.112891</td>\n",
       "      <td>-0.421053</td>\n",
       "      <td>13.54710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>10</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>-7.348200</td>\n",
       "      <td>-6.477400</td>\n",
       "      <td>-1.944380</td>\n",
       "      <td>34.8214</td>\n",
       "      <td>35.0909</td>\n",
       "      <td>40.8511</td>\n",
       "      <td>0.047891</td>\n",
       "      <td>0.054231</td>\n",
       "      <td>0.093659</td>\n",
       "      <td>0.004770</td>\n",
       "      <td>0.005667</td>\n",
       "      <td>0.008358</td>\n",
       "      <td>0.069062</td>\n",
       "      <td>0.075277</td>\n",
       "      <td>0.091421</td>\n",
       "      <td>0.301313</td>\n",
       "      <td>0.425893</td>\n",
       "      <td>0.425208</td>\n",
       "      <td>0.424069</td>\n",
       "      <td>0.422475</td>\n",
       "      <td>0.420429</td>\n",
       "      <td>0.417933</td>\n",
       "      <td>0.414989</td>\n",
       "      <td>0.411601</td>\n",
       "      <td>0.407772</td>\n",
       "      <td>0.403507</td>\n",
       "      <td>0.398809</td>\n",
       "      <td>0.393684</td>\n",
       "      <td>0.283922</td>\n",
       "      <td>0.401312</td>\n",
       "      <td>0.400667</td>\n",
       "      <td>0.399593</td>\n",
       "      <td>0.398092</td>\n",
       "      <td>0.396164</td>\n",
       "      <td>0.393811</td>\n",
       "      <td>0.391038</td>\n",
       "      <td>0.387845</td>\n",
       "      <td>0.384237</td>\n",
       "      <td>0.380218</td>\n",
       "      <td>0.375791</td>\n",
       "      <td>0.370962</td>\n",
       "      <td>0.121822</td>\n",
       "      <td>0.172190</td>\n",
       "      <td>0.171913</td>\n",
       "      <td>0.171452</td>\n",
       "      <td>0.170808</td>\n",
       "      <td>0.169981</td>\n",
       "      <td>0.168972</td>\n",
       "      <td>0.167781</td>\n",
       "      <td>0.166412</td>\n",
       "      <td>0.164864</td>\n",
       "      <td>0.163139</td>\n",
       "      <td>0.161240</td>\n",
       "      <td>0.159168</td>\n",
       "      <td>0.999824</td>\n",
       "      <td>0.997937</td>\n",
       "      <td>0.998114</td>\n",
       "      <td>-0.502669</td>\n",
       "      <td>-0.319956</td>\n",
       "      <td>0.044484</td>\n",
       "      <td>9.98778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>3</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>-5.528570</td>\n",
       "      <td>-6.591240</td>\n",
       "      <td>-5.310260</td>\n",
       "      <td>35.7407</td>\n",
       "      <td>36.7925</td>\n",
       "      <td>31.6393</td>\n",
       "      <td>0.322785</td>\n",
       "      <td>0.346811</td>\n",
       "      <td>0.211944</td>\n",
       "      <td>0.027570</td>\n",
       "      <td>0.028033</td>\n",
       "      <td>0.018522</td>\n",
       "      <td>0.166043</td>\n",
       "      <td>0.167431</td>\n",
       "      <td>0.136094</td>\n",
       "      <td>0.272816</td>\n",
       "      <td>0.385613</td>\n",
       "      <td>0.384994</td>\n",
       "      <td>0.383962</td>\n",
       "      <td>0.382519</td>\n",
       "      <td>0.380667</td>\n",
       "      <td>0.378407</td>\n",
       "      <td>0.375741</td>\n",
       "      <td>0.372674</td>\n",
       "      <td>0.369207</td>\n",
       "      <td>0.365345</td>\n",
       "      <td>0.361091</td>\n",
       "      <td>0.356451</td>\n",
       "      <td>0.286066</td>\n",
       "      <td>0.404342</td>\n",
       "      <td>0.403693</td>\n",
       "      <td>0.402611</td>\n",
       "      <td>0.401098</td>\n",
       "      <td>0.399155</td>\n",
       "      <td>0.396785</td>\n",
       "      <td>0.393991</td>\n",
       "      <td>0.390774</td>\n",
       "      <td>0.387139</td>\n",
       "      <td>0.383089</td>\n",
       "      <td>0.378629</td>\n",
       "      <td>0.373764</td>\n",
       "      <td>0.259107</td>\n",
       "      <td>0.366236</td>\n",
       "      <td>0.365648</td>\n",
       "      <td>0.364668</td>\n",
       "      <td>0.363298</td>\n",
       "      <td>0.361538</td>\n",
       "      <td>0.359391</td>\n",
       "      <td>0.356860</td>\n",
       "      <td>0.353947</td>\n",
       "      <td>0.350654</td>\n",
       "      <td>0.346986</td>\n",
       "      <td>0.342946</td>\n",
       "      <td>0.338539</td>\n",
       "      <td>0.992291</td>\n",
       "      <td>0.998383</td>\n",
       "      <td>0.994871</td>\n",
       "      <td>-0.812521</td>\n",
       "      <td>0.597703</td>\n",
       "      <td>-0.714481</td>\n",
       "      <td>10.12720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>3</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>-6.885020</td>\n",
       "      <td>-4.214920</td>\n",
       "      <td>5.161580</td>\n",
       "      <td>56.7647</td>\n",
       "      <td>54.0000</td>\n",
       "      <td>42.7273</td>\n",
       "      <td>0.074280</td>\n",
       "      <td>0.062938</td>\n",
       "      <td>0.055642</td>\n",
       "      <td>0.006477</td>\n",
       "      <td>0.005837</td>\n",
       "      <td>0.005225</td>\n",
       "      <td>0.080480</td>\n",
       "      <td>0.076403</td>\n",
       "      <td>0.072283</td>\n",
       "      <td>0.292643</td>\n",
       "      <td>0.413638</td>\n",
       "      <td>0.412974</td>\n",
       "      <td>0.411867</td>\n",
       "      <td>0.410319</td>\n",
       "      <td>0.408332</td>\n",
       "      <td>0.405908</td>\n",
       "      <td>0.403048</td>\n",
       "      <td>0.399758</td>\n",
       "      <td>0.396039</td>\n",
       "      <td>0.391896</td>\n",
       "      <td>0.387334</td>\n",
       "      <td>0.382357</td>\n",
       "      <td>0.223221</td>\n",
       "      <td>0.315513</td>\n",
       "      <td>0.315007</td>\n",
       "      <td>0.314162</td>\n",
       "      <td>0.312982</td>\n",
       "      <td>0.311466</td>\n",
       "      <td>0.309617</td>\n",
       "      <td>0.307436</td>\n",
       "      <td>0.304926</td>\n",
       "      <td>0.302089</td>\n",
       "      <td>0.298929</td>\n",
       "      <td>0.295449</td>\n",
       "      <td>0.291653</td>\n",
       "      <td>0.250119</td>\n",
       "      <td>0.353533</td>\n",
       "      <td>0.352965</td>\n",
       "      <td>0.352019</td>\n",
       "      <td>0.350696</td>\n",
       "      <td>0.348997</td>\n",
       "      <td>0.346925</td>\n",
       "      <td>0.344482</td>\n",
       "      <td>0.341669</td>\n",
       "      <td>0.338491</td>\n",
       "      <td>0.334950</td>\n",
       "      <td>0.331051</td>\n",
       "      <td>0.326797</td>\n",
       "      <td>0.999562</td>\n",
       "      <td>-0.999716</td>\n",
       "      <td>-0.999668</td>\n",
       "      <td>-0.604669</td>\n",
       "      <td>0.488538</td>\n",
       "      <td>0.134116</td>\n",
       "      <td>9.58281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>10</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.030</td>\n",
       "      <td>0.470</td>\n",
       "      <td>0.475</td>\n",
       "      <td>0.010</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.015</td>\n",
       "      <td>0.010</td>\n",
       "      <td>0.775</td>\n",
       "      <td>0.175</td>\n",
       "      <td>0.015</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.010</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.095</td>\n",
       "      <td>0.875</td>\n",
       "      <td>0.010</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.000</td>\n",
       "      <td>4.905180</td>\n",
       "      <td>2.236030</td>\n",
       "      <td>8.010920</td>\n",
       "      <td>45.8140</td>\n",
       "      <td>47.5000</td>\n",
       "      <td>40.0000</td>\n",
       "      <td>0.738542</td>\n",
       "      <td>0.686977</td>\n",
       "      <td>0.537752</td>\n",
       "      <td>0.101476</td>\n",
       "      <td>0.108730</td>\n",
       "      <td>0.087892</td>\n",
       "      <td>0.318553</td>\n",
       "      <td>0.329742</td>\n",
       "      <td>0.296466</td>\n",
       "      <td>0.357913</td>\n",
       "      <td>0.505895</td>\n",
       "      <td>0.505082</td>\n",
       "      <td>0.503729</td>\n",
       "      <td>0.501836</td>\n",
       "      <td>0.499405</td>\n",
       "      <td>0.496440</td>\n",
       "      <td>0.492944</td>\n",
       "      <td>0.488919</td>\n",
       "      <td>0.484371</td>\n",
       "      <td>0.479304</td>\n",
       "      <td>0.473724</td>\n",
       "      <td>0.467636</td>\n",
       "      <td>0.335145</td>\n",
       "      <td>0.473712</td>\n",
       "      <td>0.472951</td>\n",
       "      <td>0.471684</td>\n",
       "      <td>0.469911</td>\n",
       "      <td>0.467635</td>\n",
       "      <td>0.464859</td>\n",
       "      <td>0.461584</td>\n",
       "      <td>0.457816</td>\n",
       "      <td>0.453557</td>\n",
       "      <td>0.448813</td>\n",
       "      <td>0.443588</td>\n",
       "      <td>0.437887</td>\n",
       "      <td>0.356386</td>\n",
       "      <td>0.503736</td>\n",
       "      <td>0.502927</td>\n",
       "      <td>0.501579</td>\n",
       "      <td>0.499694</td>\n",
       "      <td>0.497274</td>\n",
       "      <td>0.494322</td>\n",
       "      <td>0.490840</td>\n",
       "      <td>0.486833</td>\n",
       "      <td>0.482304</td>\n",
       "      <td>0.477259</td>\n",
       "      <td>0.471702</td>\n",
       "      <td>0.465641</td>\n",
       "      <td>0.693095</td>\n",
       "      <td>0.935626</td>\n",
       "      <td>0.803493</td>\n",
       "      <td>-0.614229</td>\n",
       "      <td>-0.297156</td>\n",
       "      <td>-0.123588</td>\n",
       "      <td>9.91825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>0</td>\n",
       "      <td>0.965</td>\n",
       "      <td>0.020</td>\n",
       "      <td>0.010</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.295</td>\n",
       "      <td>0.455</td>\n",
       "      <td>0.215</td>\n",
       "      <td>0.035</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.200</td>\n",
       "      <td>0.380</td>\n",
       "      <td>0.220</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.075</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>-9.579120</td>\n",
       "      <td>-2.020820</td>\n",
       "      <td>-0.302857</td>\n",
       "      <td>53.2353</td>\n",
       "      <td>60.3125</td>\n",
       "      <td>49.2500</td>\n",
       "      <td>3.201590</td>\n",
       "      <td>2.292680</td>\n",
       "      <td>2.470860</td>\n",
       "      <td>0.279239</td>\n",
       "      <td>0.227799</td>\n",
       "      <td>0.231197</td>\n",
       "      <td>0.528431</td>\n",
       "      <td>0.477282</td>\n",
       "      <td>0.480830</td>\n",
       "      <td>0.463127</td>\n",
       "      <td>0.654610</td>\n",
       "      <td>0.653558</td>\n",
       "      <td>0.651807</td>\n",
       "      <td>0.649357</td>\n",
       "      <td>0.646212</td>\n",
       "      <td>0.642376</td>\n",
       "      <td>0.637851</td>\n",
       "      <td>0.632643</td>\n",
       "      <td>0.626758</td>\n",
       "      <td>0.620202</td>\n",
       "      <td>0.612981</td>\n",
       "      <td>0.605105</td>\n",
       "      <td>0.396296</td>\n",
       "      <td>0.560147</td>\n",
       "      <td>0.559247</td>\n",
       "      <td>0.557748</td>\n",
       "      <td>0.555652</td>\n",
       "      <td>0.552961</td>\n",
       "      <td>0.549678</td>\n",
       "      <td>0.545806</td>\n",
       "      <td>0.541350</td>\n",
       "      <td>0.536314</td>\n",
       "      <td>0.530704</td>\n",
       "      <td>0.524525</td>\n",
       "      <td>0.517785</td>\n",
       "      <td>0.410214</td>\n",
       "      <td>0.579819</td>\n",
       "      <td>0.578888</td>\n",
       "      <td>0.577337</td>\n",
       "      <td>0.575167</td>\n",
       "      <td>0.572381</td>\n",
       "      <td>0.568983</td>\n",
       "      <td>0.564975</td>\n",
       "      <td>0.560363</td>\n",
       "      <td>0.555150</td>\n",
       "      <td>0.549343</td>\n",
       "      <td>0.542947</td>\n",
       "      <td>0.535970</td>\n",
       "      <td>0.608601</td>\n",
       "      <td>0.093908</td>\n",
       "      <td>-0.095667</td>\n",
       "      <td>0.363375</td>\n",
       "      <td>0.022760</td>\n",
       "      <td>-0.171518</td>\n",
       "      <td>10.68620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0</td>\n",
       "      <td>0.255</td>\n",
       "      <td>0.180</td>\n",
       "      <td>0.155</td>\n",
       "      <td>0.150</td>\n",
       "      <td>0.110</td>\n",
       "      <td>0.045</td>\n",
       "      <td>0.095</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.105</td>\n",
       "      <td>0.220</td>\n",
       "      <td>0.265</td>\n",
       "      <td>0.270</td>\n",
       "      <td>0.070</td>\n",
       "      <td>0.050</td>\n",
       "      <td>0.020</td>\n",
       "      <td>0.410</td>\n",
       "      <td>0.235</td>\n",
       "      <td>0.100</td>\n",
       "      <td>0.160</td>\n",
       "      <td>0.060</td>\n",
       "      <td>0.035</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.248490</td>\n",
       "      <td>9.225980</td>\n",
       "      <td>-1.081690</td>\n",
       "      <td>54.4118</td>\n",
       "      <td>40.2083</td>\n",
       "      <td>34.5614</td>\n",
       "      <td>4.658510</td>\n",
       "      <td>2.745320</td>\n",
       "      <td>3.614940</td>\n",
       "      <td>0.407360</td>\n",
       "      <td>0.242174</td>\n",
       "      <td>0.319725</td>\n",
       "      <td>0.638248</td>\n",
       "      <td>0.492112</td>\n",
       "      <td>0.565442</td>\n",
       "      <td>0.478875</td>\n",
       "      <td>0.676869</td>\n",
       "      <td>0.675782</td>\n",
       "      <td>0.673970</td>\n",
       "      <td>0.671438</td>\n",
       "      <td>0.668186</td>\n",
       "      <td>0.664219</td>\n",
       "      <td>0.659540</td>\n",
       "      <td>0.654155</td>\n",
       "      <td>0.648070</td>\n",
       "      <td>0.641291</td>\n",
       "      <td>0.633825</td>\n",
       "      <td>0.625680</td>\n",
       "      <td>0.455218</td>\n",
       "      <td>0.643430</td>\n",
       "      <td>0.642397</td>\n",
       "      <td>0.640675</td>\n",
       "      <td>0.638267</td>\n",
       "      <td>0.635176</td>\n",
       "      <td>0.631405</td>\n",
       "      <td>0.626958</td>\n",
       "      <td>0.621839</td>\n",
       "      <td>0.616054</td>\n",
       "      <td>0.609610</td>\n",
       "      <td>0.602513</td>\n",
       "      <td>0.594771</td>\n",
       "      <td>0.457840</td>\n",
       "      <td>0.647136</td>\n",
       "      <td>0.646097</td>\n",
       "      <td>0.644365</td>\n",
       "      <td>0.641944</td>\n",
       "      <td>0.638835</td>\n",
       "      <td>0.635042</td>\n",
       "      <td>0.630569</td>\n",
       "      <td>0.625421</td>\n",
       "      <td>0.619603</td>\n",
       "      <td>0.613121</td>\n",
       "      <td>0.605983</td>\n",
       "      <td>0.598196</td>\n",
       "      <td>0.303752</td>\n",
       "      <td>0.614119</td>\n",
       "      <td>-0.139988</td>\n",
       "      <td>0.309281</td>\n",
       "      <td>0.697950</td>\n",
       "      <td>0.230838</td>\n",
       "      <td>11.81440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>1</td>\n",
       "      <td>0.165</td>\n",
       "      <td>0.100</td>\n",
       "      <td>0.115</td>\n",
       "      <td>0.135</td>\n",
       "      <td>0.105</td>\n",
       "      <td>0.050</td>\n",
       "      <td>0.045</td>\n",
       "      <td>0.110</td>\n",
       "      <td>0.085</td>\n",
       "      <td>0.090</td>\n",
       "      <td>0.240</td>\n",
       "      <td>0.095</td>\n",
       "      <td>0.090</td>\n",
       "      <td>0.100</td>\n",
       "      <td>0.055</td>\n",
       "      <td>0.055</td>\n",
       "      <td>0.065</td>\n",
       "      <td>0.070</td>\n",
       "      <td>0.115</td>\n",
       "      <td>0.115</td>\n",
       "      <td>0.365</td>\n",
       "      <td>0.150</td>\n",
       "      <td>0.200</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.065</td>\n",
       "      <td>0.035</td>\n",
       "      <td>0.025</td>\n",
       "      <td>0.015</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.015</td>\n",
       "      <td>5.942380</td>\n",
       "      <td>5.539550</td>\n",
       "      <td>-0.595769</td>\n",
       "      <td>66.8966</td>\n",
       "      <td>66.8966</td>\n",
       "      <td>32.2951</td>\n",
       "      <td>6.710610</td>\n",
       "      <td>7.940500</td>\n",
       "      <td>5.028840</td>\n",
       "      <td>0.556837</td>\n",
       "      <td>0.637961</td>\n",
       "      <td>0.468610</td>\n",
       "      <td>0.746215</td>\n",
       "      <td>0.798725</td>\n",
       "      <td>0.684551</td>\n",
       "      <td>0.513052</td>\n",
       "      <td>0.725176</td>\n",
       "      <td>0.724011</td>\n",
       "      <td>0.722071</td>\n",
       "      <td>0.719358</td>\n",
       "      <td>0.715874</td>\n",
       "      <td>0.711623</td>\n",
       "      <td>0.706611</td>\n",
       "      <td>0.700842</td>\n",
       "      <td>0.694322</td>\n",
       "      <td>0.687059</td>\n",
       "      <td>0.679061</td>\n",
       "      <td>0.670335</td>\n",
       "      <td>0.500478</td>\n",
       "      <td>0.707404</td>\n",
       "      <td>0.706267</td>\n",
       "      <td>0.704375</td>\n",
       "      <td>0.701728</td>\n",
       "      <td>0.698329</td>\n",
       "      <td>0.694183</td>\n",
       "      <td>0.689293</td>\n",
       "      <td>0.683666</td>\n",
       "      <td>0.677306</td>\n",
       "      <td>0.670221</td>\n",
       "      <td>0.662418</td>\n",
       "      <td>0.653906</td>\n",
       "      <td>0.532676</td>\n",
       "      <td>0.752914</td>\n",
       "      <td>0.751704</td>\n",
       "      <td>0.749690</td>\n",
       "      <td>0.746873</td>\n",
       "      <td>0.743256</td>\n",
       "      <td>0.738843</td>\n",
       "      <td>0.733638</td>\n",
       "      <td>0.727649</td>\n",
       "      <td>0.720880</td>\n",
       "      <td>0.713339</td>\n",
       "      <td>0.705034</td>\n",
       "      <td>0.695975</td>\n",
       "      <td>0.763157</td>\n",
       "      <td>-0.125450</td>\n",
       "      <td>-0.389628</td>\n",
       "      <td>0.658566</td>\n",
       "      <td>-0.089956</td>\n",
       "      <td>-0.403857</td>\n",
       "      <td>13.87320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>425</th>\n",
       "      <td>11</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.475</td>\n",
       "      <td>0.525</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>-8.231700</td>\n",
       "      <td>0.298380</td>\n",
       "      <td>5.003430</td>\n",
       "      <td>37.8000</td>\n",
       "      <td>36.0784</td>\n",
       "      <td>35.4717</td>\n",
       "      <td>0.022499</td>\n",
       "      <td>0.024283</td>\n",
       "      <td>0.026943</td>\n",
       "      <td>0.002701</td>\n",
       "      <td>0.002445</td>\n",
       "      <td>0.002516</td>\n",
       "      <td>0.051976</td>\n",
       "      <td>0.049444</td>\n",
       "      <td>0.050155</td>\n",
       "      <td>0.318374</td>\n",
       "      <td>0.450007</td>\n",
       "      <td>0.449284</td>\n",
       "      <td>0.448080</td>\n",
       "      <td>0.446396</td>\n",
       "      <td>0.444234</td>\n",
       "      <td>0.441597</td>\n",
       "      <td>0.438486</td>\n",
       "      <td>0.434906</td>\n",
       "      <td>0.430861</td>\n",
       "      <td>0.426354</td>\n",
       "      <td>0.421390</td>\n",
       "      <td>0.415975</td>\n",
       "      <td>-0.128159</td>\n",
       "      <td>-0.181148</td>\n",
       "      <td>-0.180857</td>\n",
       "      <td>-0.180372</td>\n",
       "      <td>-0.179694</td>\n",
       "      <td>-0.178824</td>\n",
       "      <td>-0.177762</td>\n",
       "      <td>-0.176510</td>\n",
       "      <td>-0.175069</td>\n",
       "      <td>-0.173440</td>\n",
       "      <td>-0.171626</td>\n",
       "      <td>-0.169628</td>\n",
       "      <td>-0.167448</td>\n",
       "      <td>0.245810</td>\n",
       "      <td>0.347441</td>\n",
       "      <td>0.346883</td>\n",
       "      <td>0.345954</td>\n",
       "      <td>0.344654</td>\n",
       "      <td>0.342984</td>\n",
       "      <td>0.340948</td>\n",
       "      <td>0.338546</td>\n",
       "      <td>0.335782</td>\n",
       "      <td>0.332659</td>\n",
       "      <td>0.329179</td>\n",
       "      <td>0.325347</td>\n",
       "      <td>0.321166</td>\n",
       "      <td>-0.993230</td>\n",
       "      <td>-0.999951</td>\n",
       "      <td>0.993339</td>\n",
       "      <td>0.211712</td>\n",
       "      <td>0.399600</td>\n",
       "      <td>0.012198</td>\n",
       "      <td>9.63780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>504</th>\n",
       "      <td>16</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.865350</td>\n",
       "      <td>8.643610</td>\n",
       "      <td>-4.819410</td>\n",
       "      <td>69.2593</td>\n",
       "      <td>61.6129</td>\n",
       "      <td>65.8621</td>\n",
       "      <td>0.136440</td>\n",
       "      <td>0.051436</td>\n",
       "      <td>0.139138</td>\n",
       "      <td>0.011893</td>\n",
       "      <td>0.004522</td>\n",
       "      <td>0.011675</td>\n",
       "      <td>0.109057</td>\n",
       "      <td>0.067245</td>\n",
       "      <td>0.108052</td>\n",
       "      <td>0.117487</td>\n",
       "      <td>0.166062</td>\n",
       "      <td>0.165795</td>\n",
       "      <td>0.165351</td>\n",
       "      <td>0.164730</td>\n",
       "      <td>0.163932</td>\n",
       "      <td>0.162959</td>\n",
       "      <td>0.161811</td>\n",
       "      <td>0.160490</td>\n",
       "      <td>0.158997</td>\n",
       "      <td>0.157334</td>\n",
       "      <td>0.155502</td>\n",
       "      <td>0.153504</td>\n",
       "      <td>0.325891</td>\n",
       "      <td>0.460632</td>\n",
       "      <td>0.459892</td>\n",
       "      <td>0.458660</td>\n",
       "      <td>0.456936</td>\n",
       "      <td>0.454723</td>\n",
       "      <td>0.452023</td>\n",
       "      <td>0.448839</td>\n",
       "      <td>0.445175</td>\n",
       "      <td>0.441034</td>\n",
       "      <td>0.436420</td>\n",
       "      <td>0.431339</td>\n",
       "      <td>0.425797</td>\n",
       "      <td>0.243439</td>\n",
       "      <td>0.344090</td>\n",
       "      <td>0.343538</td>\n",
       "      <td>0.342617</td>\n",
       "      <td>0.341329</td>\n",
       "      <td>0.339676</td>\n",
       "      <td>0.337660</td>\n",
       "      <td>0.335281</td>\n",
       "      <td>0.332544</td>\n",
       "      <td>0.329450</td>\n",
       "      <td>0.326004</td>\n",
       "      <td>0.322209</td>\n",
       "      <td>0.318068</td>\n",
       "      <td>0.995881</td>\n",
       "      <td>-0.993901</td>\n",
       "      <td>-0.999293</td>\n",
       "      <td>-0.077469</td>\n",
       "      <td>0.479512</td>\n",
       "      <td>0.366584</td>\n",
       "      <td>10.07340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>8</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>8.235320</td>\n",
       "      <td>-1.756590</td>\n",
       "      <td>3.920110</td>\n",
       "      <td>37.1698</td>\n",
       "      <td>35.7407</td>\n",
       "      <td>33.0508</td>\n",
       "      <td>0.026828</td>\n",
       "      <td>0.023717</td>\n",
       "      <td>0.025857</td>\n",
       "      <td>0.002638</td>\n",
       "      <td>0.002483</td>\n",
       "      <td>0.002242</td>\n",
       "      <td>0.051364</td>\n",
       "      <td>0.049833</td>\n",
       "      <td>0.047348</td>\n",
       "      <td>0.317955</td>\n",
       "      <td>0.449415</td>\n",
       "      <td>0.448693</td>\n",
       "      <td>0.447491</td>\n",
       "      <td>0.445809</td>\n",
       "      <td>0.443650</td>\n",
       "      <td>0.441016</td>\n",
       "      <td>0.437910</td>\n",
       "      <td>0.434334</td>\n",
       "      <td>0.430294</td>\n",
       "      <td>0.425793</td>\n",
       "      <td>0.420836</td>\n",
       "      <td>0.415428</td>\n",
       "      <td>0.095354</td>\n",
       "      <td>0.134779</td>\n",
       "      <td>0.134563</td>\n",
       "      <td>0.134202</td>\n",
       "      <td>0.133698</td>\n",
       "      <td>0.133050</td>\n",
       "      <td>0.132260</td>\n",
       "      <td>0.131329</td>\n",
       "      <td>0.130256</td>\n",
       "      <td>0.129045</td>\n",
       "      <td>0.127695</td>\n",
       "      <td>0.126208</td>\n",
       "      <td>0.124586</td>\n",
       "      <td>0.211410</td>\n",
       "      <td>0.298819</td>\n",
       "      <td>0.298338</td>\n",
       "      <td>0.297539</td>\n",
       "      <td>0.296421</td>\n",
       "      <td>0.294985</td>\n",
       "      <td>0.293234</td>\n",
       "      <td>0.291168</td>\n",
       "      <td>0.288791</td>\n",
       "      <td>0.286105</td>\n",
       "      <td>0.283112</td>\n",
       "      <td>0.279816</td>\n",
       "      <td>0.276220</td>\n",
       "      <td>-0.999813</td>\n",
       "      <td>0.999944</td>\n",
       "      <td>-0.999760</td>\n",
       "      <td>-0.249240</td>\n",
       "      <td>-0.355753</td>\n",
       "      <td>0.044736</td>\n",
       "      <td>9.28848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>2</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.105</td>\n",
       "      <td>0.415</td>\n",
       "      <td>0.340</td>\n",
       "      <td>0.135</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.020</td>\n",
       "      <td>0.300</td>\n",
       "      <td>0.560</td>\n",
       "      <td>0.115</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.085</td>\n",
       "      <td>0.485</td>\n",
       "      <td>0.325</td>\n",
       "      <td>0.080</td>\n",
       "      <td>0.020</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.005</td>\n",
       "      <td>7.601040</td>\n",
       "      <td>0.699697</td>\n",
       "      <td>5.000320</td>\n",
       "      <td>45.2381</td>\n",
       "      <td>36.2264</td>\n",
       "      <td>37.1154</td>\n",
       "      <td>1.742780</td>\n",
       "      <td>1.173560</td>\n",
       "      <td>1.660450</td>\n",
       "      <td>0.149780</td>\n",
       "      <td>0.110802</td>\n",
       "      <td>0.156805</td>\n",
       "      <td>0.387015</td>\n",
       "      <td>0.332869</td>\n",
       "      <td>0.395986</td>\n",
       "      <td>0.398343</td>\n",
       "      <td>0.563040</td>\n",
       "      <td>0.562135</td>\n",
       "      <td>0.560629</td>\n",
       "      <td>0.558522</td>\n",
       "      <td>0.555817</td>\n",
       "      <td>0.552517</td>\n",
       "      <td>0.548625</td>\n",
       "      <td>0.544146</td>\n",
       "      <td>0.539084</td>\n",
       "      <td>0.533445</td>\n",
       "      <td>0.527235</td>\n",
       "      <td>0.520460</td>\n",
       "      <td>0.310031</td>\n",
       "      <td>0.438215</td>\n",
       "      <td>0.437511</td>\n",
       "      <td>0.436339</td>\n",
       "      <td>0.434699</td>\n",
       "      <td>0.432594</td>\n",
       "      <td>0.430025</td>\n",
       "      <td>0.426996</td>\n",
       "      <td>0.423510</td>\n",
       "      <td>0.419570</td>\n",
       "      <td>0.415181</td>\n",
       "      <td>0.410348</td>\n",
       "      <td>0.405075</td>\n",
       "      <td>0.376823</td>\n",
       "      <td>0.532623</td>\n",
       "      <td>0.531767</td>\n",
       "      <td>0.530342</td>\n",
       "      <td>0.528349</td>\n",
       "      <td>0.525790</td>\n",
       "      <td>0.522669</td>\n",
       "      <td>0.518987</td>\n",
       "      <td>0.514750</td>\n",
       "      <td>0.509961</td>\n",
       "      <td>0.504627</td>\n",
       "      <td>0.498752</td>\n",
       "      <td>0.492343</td>\n",
       "      <td>0.387023</td>\n",
       "      <td>0.904118</td>\n",
       "      <td>0.391008</td>\n",
       "      <td>-0.023406</td>\n",
       "      <td>0.216251</td>\n",
       "      <td>0.049408</td>\n",
       "      <td>9.42530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>6</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.995</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>8.489700</td>\n",
       "      <td>-2.323850</td>\n",
       "      <td>-4.631130</td>\n",
       "      <td>75.2000</td>\n",
       "      <td>107.7780</td>\n",
       "      <td>45.9524</td>\n",
       "      <td>0.042255</td>\n",
       "      <td>0.055706</td>\n",
       "      <td>0.034290</td>\n",
       "      <td>0.003502</td>\n",
       "      <td>0.004745</td>\n",
       "      <td>0.003211</td>\n",
       "      <td>0.059176</td>\n",
       "      <td>0.068883</td>\n",
       "      <td>0.056664</td>\n",
       "      <td>0.322169</td>\n",
       "      <td>0.455372</td>\n",
       "      <td>0.454641</td>\n",
       "      <td>0.453422</td>\n",
       "      <td>0.451718</td>\n",
       "      <td>0.449531</td>\n",
       "      <td>0.446862</td>\n",
       "      <td>0.443714</td>\n",
       "      <td>0.440092</td>\n",
       "      <td>0.435998</td>\n",
       "      <td>0.431437</td>\n",
       "      <td>0.426414</td>\n",
       "      <td>0.420935</td>\n",
       "      <td>0.138353</td>\n",
       "      <td>0.195556</td>\n",
       "      <td>0.195242</td>\n",
       "      <td>0.194719</td>\n",
       "      <td>0.193987</td>\n",
       "      <td>0.193048</td>\n",
       "      <td>0.191902</td>\n",
       "      <td>0.190550</td>\n",
       "      <td>0.188994</td>\n",
       "      <td>0.187236</td>\n",
       "      <td>0.185277</td>\n",
       "      <td>0.183120</td>\n",
       "      <td>0.180767</td>\n",
       "      <td>0.235420</td>\n",
       "      <td>0.332756</td>\n",
       "      <td>0.332221</td>\n",
       "      <td>0.331331</td>\n",
       "      <td>0.330086</td>\n",
       "      <td>0.328487</td>\n",
       "      <td>0.326537</td>\n",
       "      <td>0.324237</td>\n",
       "      <td>0.321590</td>\n",
       "      <td>0.318598</td>\n",
       "      <td>0.315265</td>\n",
       "      <td>0.311595</td>\n",
       "      <td>0.307591</td>\n",
       "      <td>-0.999669</td>\n",
       "      <td>-0.999898</td>\n",
       "      <td>0.999513</td>\n",
       "      <td>-0.611045</td>\n",
       "      <td>0.643699</td>\n",
       "      <td>-0.077101</td>\n",
       "      <td>9.94633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>6</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.465</td>\n",
       "      <td>0.535</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.548090</td>\n",
       "      <td>9.404110</td>\n",
       "      <td>-1.167930</td>\n",
       "      <td>94.5000</td>\n",
       "      <td>44.3182</td>\n",
       "      <td>64.0000</td>\n",
       "      <td>0.125731</td>\n",
       "      <td>0.027393</td>\n",
       "      <td>0.120113</td>\n",
       "      <td>0.010643</td>\n",
       "      <td>0.002615</td>\n",
       "      <td>0.009920</td>\n",
       "      <td>0.103165</td>\n",
       "      <td>0.051136</td>\n",
       "      <td>0.099600</td>\n",
       "      <td>0.153743</td>\n",
       "      <td>0.217309</td>\n",
       "      <td>0.216960</td>\n",
       "      <td>0.216379</td>\n",
       "      <td>0.215566</td>\n",
       "      <td>0.214522</td>\n",
       "      <td>0.213248</td>\n",
       "      <td>0.211746</td>\n",
       "      <td>0.210017</td>\n",
       "      <td>0.208063</td>\n",
       "      <td>0.205887</td>\n",
       "      <td>0.203490</td>\n",
       "      <td>0.200875</td>\n",
       "      <td>0.336736</td>\n",
       "      <td>0.475961</td>\n",
       "      <td>0.475197</td>\n",
       "      <td>0.473923</td>\n",
       "      <td>0.472142</td>\n",
       "      <td>0.469856</td>\n",
       "      <td>0.467066</td>\n",
       "      <td>0.463776</td>\n",
       "      <td>0.459990</td>\n",
       "      <td>0.455711</td>\n",
       "      <td>0.450944</td>\n",
       "      <td>0.445694</td>\n",
       "      <td>0.439967</td>\n",
       "      <td>0.042329</td>\n",
       "      <td>0.059830</td>\n",
       "      <td>0.059734</td>\n",
       "      <td>0.059574</td>\n",
       "      <td>0.059350</td>\n",
       "      <td>0.059063</td>\n",
       "      <td>0.058712</td>\n",
       "      <td>0.058298</td>\n",
       "      <td>0.057822</td>\n",
       "      <td>0.057285</td>\n",
       "      <td>0.056685</td>\n",
       "      <td>0.056025</td>\n",
       "      <td>0.055305</td>\n",
       "      <td>0.998121</td>\n",
       "      <td>-0.993954</td>\n",
       "      <td>-0.992936</td>\n",
       "      <td>-0.565490</td>\n",
       "      <td>-0.400813</td>\n",
       "      <td>-0.172438</td>\n",
       "      <td>9.81508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>5</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.010</td>\n",
       "      <td>0.990</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>5.458130</td>\n",
       "      <td>5.052510</td>\n",
       "      <td>5.538970</td>\n",
       "      <td>37.6471</td>\n",
       "      <td>37.6923</td>\n",
       "      <td>35.8491</td>\n",
       "      <td>0.015569</td>\n",
       "      <td>0.016595</td>\n",
       "      <td>0.019270</td>\n",
       "      <td>0.001416</td>\n",
       "      <td>0.001470</td>\n",
       "      <td>0.001756</td>\n",
       "      <td>0.037636</td>\n",
       "      <td>0.038339</td>\n",
       "      <td>0.041907</td>\n",
       "      <td>0.258601</td>\n",
       "      <td>0.365521</td>\n",
       "      <td>0.364934</td>\n",
       "      <td>0.363956</td>\n",
       "      <td>0.362588</td>\n",
       "      <td>0.360832</td>\n",
       "      <td>0.358690</td>\n",
       "      <td>0.356163</td>\n",
       "      <td>0.353255</td>\n",
       "      <td>0.349969</td>\n",
       "      <td>0.346308</td>\n",
       "      <td>0.342277</td>\n",
       "      <td>0.337878</td>\n",
       "      <td>0.247455</td>\n",
       "      <td>0.349767</td>\n",
       "      <td>0.349205</td>\n",
       "      <td>0.348270</td>\n",
       "      <td>0.346961</td>\n",
       "      <td>0.345281</td>\n",
       "      <td>0.343230</td>\n",
       "      <td>0.340813</td>\n",
       "      <td>0.338030</td>\n",
       "      <td>0.334886</td>\n",
       "      <td>0.331383</td>\n",
       "      <td>0.327525</td>\n",
       "      <td>0.323316</td>\n",
       "      <td>0.260528</td>\n",
       "      <td>0.368245</td>\n",
       "      <td>0.367653</td>\n",
       "      <td>0.366668</td>\n",
       "      <td>0.365290</td>\n",
       "      <td>0.363521</td>\n",
       "      <td>0.361362</td>\n",
       "      <td>0.358817</td>\n",
       "      <td>0.355888</td>\n",
       "      <td>0.352577</td>\n",
       "      <td>0.348889</td>\n",
       "      <td>0.344827</td>\n",
       "      <td>0.340396</td>\n",
       "      <td>0.999988</td>\n",
       "      <td>0.999984</td>\n",
       "      <td>0.999983</td>\n",
       "      <td>0.242148</td>\n",
       "      <td>0.055951</td>\n",
       "      <td>0.103954</td>\n",
       "      <td>9.27362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>9</td>\n",
       "      <td>0.920</td>\n",
       "      <td>0.080</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.995</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.675</td>\n",
       "      <td>0.115</td>\n",
       "      <td>0.160</td>\n",
       "      <td>0.045</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>-7.624580</td>\n",
       "      <td>-4.192940</td>\n",
       "      <td>2.922840</td>\n",
       "      <td>37.6923</td>\n",
       "      <td>32.7119</td>\n",
       "      <td>43.1818</td>\n",
       "      <td>1.992620</td>\n",
       "      <td>1.273520</td>\n",
       "      <td>1.688020</td>\n",
       "      <td>0.172566</td>\n",
       "      <td>0.128759</td>\n",
       "      <td>0.144419</td>\n",
       "      <td>0.415410</td>\n",
       "      <td>0.358830</td>\n",
       "      <td>0.380025</td>\n",
       "      <td>0.205545</td>\n",
       "      <td>0.290529</td>\n",
       "      <td>0.290062</td>\n",
       "      <td>0.289285</td>\n",
       "      <td>0.288198</td>\n",
       "      <td>0.286802</td>\n",
       "      <td>0.285099</td>\n",
       "      <td>0.283091</td>\n",
       "      <td>0.280780</td>\n",
       "      <td>0.278168</td>\n",
       "      <td>0.275258</td>\n",
       "      <td>0.272053</td>\n",
       "      <td>0.268557</td>\n",
       "      <td>0.358304</td>\n",
       "      <td>0.506447</td>\n",
       "      <td>0.505634</td>\n",
       "      <td>0.504279</td>\n",
       "      <td>0.502384</td>\n",
       "      <td>0.499951</td>\n",
       "      <td>0.496982</td>\n",
       "      <td>0.493482</td>\n",
       "      <td>0.489453</td>\n",
       "      <td>0.484899</td>\n",
       "      <td>0.479827</td>\n",
       "      <td>0.474241</td>\n",
       "      <td>0.468147</td>\n",
       "      <td>0.305031</td>\n",
       "      <td>0.431148</td>\n",
       "      <td>0.430455</td>\n",
       "      <td>0.429301</td>\n",
       "      <td>0.427688</td>\n",
       "      <td>0.425617</td>\n",
       "      <td>0.423090</td>\n",
       "      <td>0.420110</td>\n",
       "      <td>0.416680</td>\n",
       "      <td>0.412804</td>\n",
       "      <td>0.408485</td>\n",
       "      <td>0.403730</td>\n",
       "      <td>0.398542</td>\n",
       "      <td>0.780512</td>\n",
       "      <td>-0.628701</td>\n",
       "      <td>-0.854950</td>\n",
       "      <td>-0.766425</td>\n",
       "      <td>0.870446</td>\n",
       "      <td>-0.451805</td>\n",
       "      <td>9.85985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>539</th>\n",
       "      <td>13</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.150</td>\n",
       "      <td>0.825</td>\n",
       "      <td>0.025</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.085</td>\n",
       "      <td>0.630</td>\n",
       "      <td>0.285</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.842257</td>\n",
       "      <td>-9.171850</td>\n",
       "      <td>-0.558291</td>\n",
       "      <td>59.3750</td>\n",
       "      <td>56.0000</td>\n",
       "      <td>55.4286</td>\n",
       "      <td>0.667436</td>\n",
       "      <td>0.416880</td>\n",
       "      <td>0.857996</td>\n",
       "      <td>0.059511</td>\n",
       "      <td>0.038927</td>\n",
       "      <td>0.080805</td>\n",
       "      <td>0.243949</td>\n",
       "      <td>0.197300</td>\n",
       "      <td>0.284262</td>\n",
       "      <td>0.169466</td>\n",
       "      <td>0.239533</td>\n",
       "      <td>0.239148</td>\n",
       "      <td>0.238507</td>\n",
       "      <td>0.237611</td>\n",
       "      <td>0.236460</td>\n",
       "      <td>0.235056</td>\n",
       "      <td>0.233400</td>\n",
       "      <td>0.231495</td>\n",
       "      <td>0.229341</td>\n",
       "      <td>0.226942</td>\n",
       "      <td>0.224300</td>\n",
       "      <td>0.221418</td>\n",
       "      <td>0.347760</td>\n",
       "      <td>0.491543</td>\n",
       "      <td>0.490753</td>\n",
       "      <td>0.489438</td>\n",
       "      <td>0.487599</td>\n",
       "      <td>0.485237</td>\n",
       "      <td>0.482356</td>\n",
       "      <td>0.478959</td>\n",
       "      <td>0.475048</td>\n",
       "      <td>0.470629</td>\n",
       "      <td>0.465706</td>\n",
       "      <td>0.460284</td>\n",
       "      <td>0.454370</td>\n",
       "      <td>0.155438</td>\n",
       "      <td>0.219705</td>\n",
       "      <td>0.219352</td>\n",
       "      <td>0.218765</td>\n",
       "      <td>0.217942</td>\n",
       "      <td>0.216887</td>\n",
       "      <td>0.215599</td>\n",
       "      <td>0.214081</td>\n",
       "      <td>0.212333</td>\n",
       "      <td>0.210358</td>\n",
       "      <td>0.208157</td>\n",
       "      <td>0.205734</td>\n",
       "      <td>0.203090</td>\n",
       "      <td>-0.700279</td>\n",
       "      <td>-0.214007</td>\n",
       "      <td>0.428025</td>\n",
       "      <td>0.137569</td>\n",
       "      <td>0.151954</td>\n",
       "      <td>-0.188543</td>\n",
       "      <td>9.33747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>12</td>\n",
       "      <td>0.055</td>\n",
       "      <td>0.085</td>\n",
       "      <td>0.210</td>\n",
       "      <td>0.350</td>\n",
       "      <td>0.195</td>\n",
       "      <td>0.035</td>\n",
       "      <td>0.025</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.015</td>\n",
       "      <td>0.030</td>\n",
       "      <td>0.015</td>\n",
       "      <td>0.015</td>\n",
       "      <td>0.025</td>\n",
       "      <td>0.055</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0.340</td>\n",
       "      <td>0.190</td>\n",
       "      <td>0.050</td>\n",
       "      <td>0.025</td>\n",
       "      <td>0.035</td>\n",
       "      <td>0.160</td>\n",
       "      <td>0.375</td>\n",
       "      <td>0.245</td>\n",
       "      <td>0.115</td>\n",
       "      <td>0.035</td>\n",
       "      <td>0.025</td>\n",
       "      <td>0.020</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.020</td>\n",
       "      <td>3.769130</td>\n",
       "      <td>8.534130</td>\n",
       "      <td>0.430390</td>\n",
       "      <td>74.4000</td>\n",
       "      <td>63.3333</td>\n",
       "      <td>54.4444</td>\n",
       "      <td>3.010720</td>\n",
       "      <td>2.865370</td>\n",
       "      <td>3.156600</td>\n",
       "      <td>0.316562</td>\n",
       "      <td>0.297418</td>\n",
       "      <td>0.341342</td>\n",
       "      <td>0.562638</td>\n",
       "      <td>0.545360</td>\n",
       "      <td>0.584245</td>\n",
       "      <td>0.465911</td>\n",
       "      <td>0.658545</td>\n",
       "      <td>0.657487</td>\n",
       "      <td>0.655725</td>\n",
       "      <td>0.653261</td>\n",
       "      <td>0.650097</td>\n",
       "      <td>0.646237</td>\n",
       "      <td>0.641685</td>\n",
       "      <td>0.636446</td>\n",
       "      <td>0.630526</td>\n",
       "      <td>0.623930</td>\n",
       "      <td>0.616666</td>\n",
       "      <td>0.608742</td>\n",
       "      <td>0.453756</td>\n",
       "      <td>0.641364</td>\n",
       "      <td>0.640333</td>\n",
       "      <td>0.638617</td>\n",
       "      <td>0.636217</td>\n",
       "      <td>0.633136</td>\n",
       "      <td>0.629377</td>\n",
       "      <td>0.624944</td>\n",
       "      <td>0.619842</td>\n",
       "      <td>0.614076</td>\n",
       "      <td>0.607652</td>\n",
       "      <td>0.600578</td>\n",
       "      <td>0.592860</td>\n",
       "      <td>0.485358</td>\n",
       "      <td>0.686032</td>\n",
       "      <td>0.684930</td>\n",
       "      <td>0.683094</td>\n",
       "      <td>0.680527</td>\n",
       "      <td>0.677231</td>\n",
       "      <td>0.673210</td>\n",
       "      <td>0.668469</td>\n",
       "      <td>0.663011</td>\n",
       "      <td>0.656843</td>\n",
       "      <td>0.649972</td>\n",
       "      <td>0.642405</td>\n",
       "      <td>0.634150</td>\n",
       "      <td>0.642835</td>\n",
       "      <td>-0.030724</td>\n",
       "      <td>0.090648</td>\n",
       "      <td>0.192611</td>\n",
       "      <td>-0.115386</td>\n",
       "      <td>0.024962</td>\n",
       "      <td>11.08780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>673</th>\n",
       "      <td>15</td>\n",
       "      <td>0.015</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.035</td>\n",
       "      <td>0.430</td>\n",
       "      <td>0.310</td>\n",
       "      <td>0.110</td>\n",
       "      <td>0.070</td>\n",
       "      <td>0.020</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.410</td>\n",
       "      <td>0.300</td>\n",
       "      <td>0.150</td>\n",
       "      <td>0.120</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.010</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.850</td>\n",
       "      <td>0.105</td>\n",
       "      <td>0.020</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.015</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.000</td>\n",
       "      <td>5.676990</td>\n",
       "      <td>-1.404420</td>\n",
       "      <td>-6.934700</td>\n",
       "      <td>52.4324</td>\n",
       "      <td>52.0588</td>\n",
       "      <td>38.1250</td>\n",
       "      <td>2.090810</td>\n",
       "      <td>2.534840</td>\n",
       "      <td>3.057950</td>\n",
       "      <td>0.209660</td>\n",
       "      <td>0.262414</td>\n",
       "      <td>0.316956</td>\n",
       "      <td>0.457886</td>\n",
       "      <td>0.512263</td>\n",
       "      <td>0.562989</td>\n",
       "      <td>0.424546</td>\n",
       "      <td>0.600078</td>\n",
       "      <td>0.599114</td>\n",
       "      <td>0.597508</td>\n",
       "      <td>0.595263</td>\n",
       "      <td>0.592380</td>\n",
       "      <td>0.588863</td>\n",
       "      <td>0.584715</td>\n",
       "      <td>0.579941</td>\n",
       "      <td>0.574546</td>\n",
       "      <td>0.568536</td>\n",
       "      <td>0.561917</td>\n",
       "      <td>0.554697</td>\n",
       "      <td>0.435366</td>\n",
       "      <td>0.615372</td>\n",
       "      <td>0.614383</td>\n",
       "      <td>0.612736</td>\n",
       "      <td>0.610434</td>\n",
       "      <td>0.607477</td>\n",
       "      <td>0.603871</td>\n",
       "      <td>0.599617</td>\n",
       "      <td>0.594722</td>\n",
       "      <td>0.589189</td>\n",
       "      <td>0.583026</td>\n",
       "      <td>0.576238</td>\n",
       "      <td>0.568834</td>\n",
       "      <td>0.475937</td>\n",
       "      <td>0.672716</td>\n",
       "      <td>0.671635</td>\n",
       "      <td>0.669835</td>\n",
       "      <td>0.667318</td>\n",
       "      <td>0.664086</td>\n",
       "      <td>0.660143</td>\n",
       "      <td>0.655494</td>\n",
       "      <td>0.650142</td>\n",
       "      <td>0.644094</td>\n",
       "      <td>0.637356</td>\n",
       "      <td>0.629936</td>\n",
       "      <td>0.621842</td>\n",
       "      <td>-0.158025</td>\n",
       "      <td>-0.623424</td>\n",
       "      <td>0.367385</td>\n",
       "      <td>0.359604</td>\n",
       "      <td>0.481430</td>\n",
       "      <td>0.138141</td>\n",
       "      <td>10.73950</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     ACTIVITY     X0     X1     X2     X3     X4     X5     X6     X7     X8  \\\n",
       "525        12  0.060  0.440  0.450  0.045  0.005  0.000  0.000  0.000  0.000   \n",
       "29          1  0.100  0.115  0.100  0.150  0.105  0.095  0.080  0.115  0.075   \n",
       "180        10  1.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000   \n",
       "117         3  1.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000   \n",
       "124         3  1.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000   \n",
       "227        10  0.005  0.005  0.030  0.470  0.475  0.010  0.000  0.000  0.005   \n",
       "36          0  0.965  0.020  0.010  0.005  0.000  0.000  0.000  0.000  0.000   \n",
       "10          0  0.255  0.180  0.155  0.150  0.110  0.045  0.095  0.005  0.005   \n",
       "33          1  0.165  0.100  0.115  0.135  0.105  0.050  0.045  0.110  0.085   \n",
       "425        11  1.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000   \n",
       "504        16  0.000  0.000  1.000  0.000  0.000  0.000  0.000  0.000  0.000   \n",
       "146         8  0.000  0.000  0.000  0.000  0.000  1.000  0.000  0.000  0.000   \n",
       "50          2  0.000  0.000  0.000  0.105  0.415  0.340  0.135  0.005  0.000   \n",
       "283         6  0.000  0.000  0.000  0.000  0.000  1.000  0.000  0.000  0.000   \n",
       "186         6  0.000  0.000  0.465  0.535  0.000  0.000  0.000  0.000  0.000   \n",
       "93          5  0.000  0.000  0.000  0.000  1.000  0.000  0.000  0.000  0.000   \n",
       "165         9  0.920  0.080  0.000  0.000  0.000  0.000  0.000  0.000  0.000   \n",
       "539        13  0.000  0.150  0.825  0.025  0.000  0.000  0.000  0.000  0.000   \n",
       "227        12  0.055  0.085  0.210  0.350  0.195  0.035  0.025  0.000  0.015   \n",
       "673        15  0.015  0.005  0.035  0.430  0.310  0.110  0.070  0.020  0.005   \n",
       "\n",
       "        X9     Y0     Y1     Y2     Y3     Y4     Y5     Y6     Y7     Y8  \\\n",
       "525  0.000  1.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000   \n",
       "29   0.065  0.225  0.085  0.110  0.100  0.055  0.065  0.065  0.080  0.080   \n",
       "180  0.000  1.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000   \n",
       "117  0.000  1.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000   \n",
       "124  0.000  1.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000   \n",
       "227  0.000  0.015  0.010  0.775  0.175  0.015  0.000  0.010  0.000  0.000   \n",
       "36   0.000  0.295  0.455  0.215  0.035  0.000  0.000  0.000  0.000  0.000   \n",
       "10   0.000  0.000  0.000  0.000  0.105  0.220  0.265  0.270  0.070  0.050   \n",
       "33   0.090  0.240  0.095  0.090  0.100  0.055  0.055  0.065  0.070  0.115   \n",
       "425  0.000  0.000  0.000  1.000  0.000  0.000  0.000  0.000  0.000  0.000   \n",
       "504  0.000  0.000  0.000  0.000  0.000  0.000  1.000  0.000  0.000  0.000   \n",
       "146  0.000  0.000  1.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000   \n",
       "50   0.000  0.020  0.300  0.560  0.115  0.000  0.005  0.000  0.000  0.000   \n",
       "283  0.000  0.005  0.995  0.000  0.000  0.000  0.000  0.000  0.000  0.000   \n",
       "186  0.000  0.000  0.000  0.000  0.000  0.000  1.000  0.000  0.000  0.000   \n",
       "93   0.000  0.000  0.000  0.000  0.010  0.990  0.000  0.000  0.000  0.000   \n",
       "165  0.000  0.995  0.005  0.000  0.000  0.000  0.000  0.000  0.000  0.000   \n",
       "539  0.000  1.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000   \n",
       "227  0.030  0.015  0.015  0.025  0.055  0.250  0.340  0.190  0.050  0.025   \n",
       "673  0.000  0.410  0.300  0.150  0.120  0.000  0.010  0.005  0.005  0.000   \n",
       "\n",
       "        Y9     Z0     Z1     Z2     Z3     Z4     Z5     Z6     Z7     Z8  \\\n",
       "525  0.000  0.740  0.220  0.035  0.005  0.000  0.000  0.000  0.000  0.000   \n",
       "29   0.135  0.320  0.150  0.205  0.150  0.090  0.025  0.015  0.010  0.015   \n",
       "180  0.000  0.000  1.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000   \n",
       "117  0.000  1.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000   \n",
       "124  0.000  0.000  0.000  0.000  0.000  1.000  0.000  0.000  0.000  0.000   \n",
       "227  0.000  0.000  0.005  0.005  0.005  0.095  0.875  0.010  0.000  0.005   \n",
       "36   0.000  0.200  0.380  0.220  0.125  0.075  0.000  0.000  0.000  0.000   \n",
       "10   0.020  0.410  0.235  0.100  0.160  0.060  0.035  0.000  0.000  0.000   \n",
       "33   0.115  0.365  0.150  0.200  0.125  0.065  0.035  0.025  0.015  0.005   \n",
       "425  0.000  0.000  0.000  0.000  0.475  0.525  0.000  0.000  0.000  0.000   \n",
       "504  0.000  1.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000   \n",
       "146  0.000  0.000  0.000  0.000  1.000  0.000  0.000  0.000  0.000  0.000   \n",
       "50   0.000  0.000  0.000  0.085  0.485  0.325  0.080  0.020  0.000  0.000   \n",
       "283  0.000  1.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000   \n",
       "186  0.000  0.000  1.000  0.000  0.000  0.000  0.000  0.000  0.000  0.000   \n",
       "93   0.000  0.000  0.000  0.000  0.000  1.000  0.000  0.000  0.000  0.000   \n",
       "165  0.000  0.000  0.005  0.675  0.115  0.160  0.045  0.000  0.000  0.000   \n",
       "539  0.000  0.085  0.630  0.285  0.000  0.000  0.000  0.000  0.000  0.000   \n",
       "227  0.035  0.160  0.375  0.245  0.115  0.035  0.025  0.020  0.000  0.005   \n",
       "673  0.000  0.850  0.105  0.020  0.000  0.000  0.015  0.005  0.000  0.005   \n",
       "\n",
       "        Z9      XAVG      YAVG      ZAVG    XPEAK     YPEAK    ZPEAK  \\\n",
       "525  0.000  0.022354 -9.238370 -3.382560  65.0000   64.0000  50.0000   \n",
       "29   0.020  6.315620  5.709140 -0.161829  58.4848   63.2258  33.9286   \n",
       "180  0.000 -7.348200 -6.477400 -1.944380  34.8214   35.0909  40.8511   \n",
       "117  0.000 -5.528570 -6.591240 -5.310260  35.7407   36.7925  31.6393   \n",
       "124  0.000 -6.885020 -4.214920  5.161580  56.7647   54.0000  42.7273   \n",
       "227  0.000  4.905180  2.236030  8.010920  45.8140   47.5000  40.0000   \n",
       "36   0.000 -9.579120 -2.020820 -0.302857  53.2353   60.3125  49.2500   \n",
       "10   0.000  1.248490  9.225980 -1.081690  54.4118   40.2083  34.5614   \n",
       "33   0.015  5.942380  5.539550 -0.595769  66.8966   66.8966  32.2951   \n",
       "425  0.000 -8.231700  0.298380  5.003430  37.8000   36.0784  35.4717   \n",
       "504  0.000  1.865350  8.643610 -4.819410  69.2593   61.6129  65.8621   \n",
       "146  0.000  8.235320 -1.756590  3.920110  37.1698   35.7407  33.0508   \n",
       "50   0.005  7.601040  0.699697  5.000320  45.2381   36.2264  37.1154   \n",
       "283  0.000  8.489700 -2.323850 -4.631130  75.2000  107.7780  45.9524   \n",
       "186  0.000  2.548090  9.404110 -1.167930  94.5000   44.3182  64.0000   \n",
       "93   0.000  5.458130  5.052510  5.538970  37.6471   37.6923  35.8491   \n",
       "165  0.000 -7.624580 -4.192940  2.922840  37.6923   32.7119  43.1818   \n",
       "539  0.000  0.842257 -9.171850 -0.558291  59.3750   56.0000  55.4286   \n",
       "227  0.020  3.769130  8.534130  0.430390  74.4000   63.3333  54.4444   \n",
       "673  0.000  5.676990 -1.404420 -6.934700  52.4324   52.0588  38.1250   \n",
       "\n",
       "     XABSOLDEV  YABSOLDEV  ZABSOLDEV  XSTANDDEV  YSTANDDEV  ZSTANDDEV  \\\n",
       "525   1.249520   0.754437   1.430140   0.116022   0.074189   0.151440   \n",
       "29    6.089790   7.707600   5.083910   0.515187   0.623854   0.487054   \n",
       "180   0.047891   0.054231   0.093659   0.004770   0.005667   0.008358   \n",
       "117   0.322785   0.346811   0.211944   0.027570   0.028033   0.018522   \n",
       "124   0.074280   0.062938   0.055642   0.006477   0.005837   0.005225   \n",
       "227   0.738542   0.686977   0.537752   0.101476   0.108730   0.087892   \n",
       "36    3.201590   2.292680   2.470860   0.279239   0.227799   0.231197   \n",
       "10    4.658510   2.745320   3.614940   0.407360   0.242174   0.319725   \n",
       "33    6.710610   7.940500   5.028840   0.556837   0.637961   0.468610   \n",
       "425   0.022499   0.024283   0.026943   0.002701   0.002445   0.002516   \n",
       "504   0.136440   0.051436   0.139138   0.011893   0.004522   0.011675   \n",
       "146   0.026828   0.023717   0.025857   0.002638   0.002483   0.002242   \n",
       "50    1.742780   1.173560   1.660450   0.149780   0.110802   0.156805   \n",
       "283   0.042255   0.055706   0.034290   0.003502   0.004745   0.003211   \n",
       "186   0.125731   0.027393   0.120113   0.010643   0.002615   0.009920   \n",
       "93    0.015569   0.016595   0.019270   0.001416   0.001470   0.001756   \n",
       "165   1.992620   1.273520   1.688020   0.172566   0.128759   0.144419   \n",
       "539   0.667436   0.416880   0.857996   0.059511   0.038927   0.080805   \n",
       "227   3.010720   2.865370   3.156600   0.316562   0.297418   0.341342   \n",
       "673   2.090810   2.534840   3.057950   0.209660   0.262414   0.316956   \n",
       "\n",
       "         XVAR      YVAR      ZVAR    XMFCC0    XMFCC1    XMFCC2    XMFCC3  \\\n",
       "525  0.340620  0.272376  0.389153  0.289729  0.409520  0.408862  0.407766   \n",
       "29   0.717766  0.789845  0.697892  0.511817  0.723431  0.722269  0.720334   \n",
       "180  0.069062  0.075277  0.091421  0.301313  0.425893  0.425208  0.424069   \n",
       "117  0.166043  0.167431  0.136094  0.272816  0.385613  0.384994  0.383962   \n",
       "124  0.080480  0.076403  0.072283  0.292643  0.413638  0.412974  0.411867   \n",
       "227  0.318553  0.329742  0.296466  0.357913  0.505895  0.505082  0.503729   \n",
       "36   0.528431  0.477282  0.480830  0.463127  0.654610  0.653558  0.651807   \n",
       "10   0.638248  0.492112  0.565442  0.478875  0.676869  0.675782  0.673970   \n",
       "33   0.746215  0.798725  0.684551  0.513052  0.725176  0.724011  0.722071   \n",
       "425  0.051976  0.049444  0.050155  0.318374  0.450007  0.449284  0.448080   \n",
       "504  0.109057  0.067245  0.108052  0.117487  0.166062  0.165795  0.165351   \n",
       "146  0.051364  0.049833  0.047348  0.317955  0.449415  0.448693  0.447491   \n",
       "50   0.387015  0.332869  0.395986  0.398343  0.563040  0.562135  0.560629   \n",
       "283  0.059176  0.068883  0.056664  0.322169  0.455372  0.454641  0.453422   \n",
       "186  0.103165  0.051136  0.099600  0.153743  0.217309  0.216960  0.216379   \n",
       "93   0.037636  0.038339  0.041907  0.258601  0.365521  0.364934  0.363956   \n",
       "165  0.415410  0.358830  0.380025  0.205545  0.290529  0.290062  0.289285   \n",
       "539  0.243949  0.197300  0.284262  0.169466  0.239533  0.239148  0.238507   \n",
       "227  0.562638  0.545360  0.584245  0.465911  0.658545  0.657487  0.655725   \n",
       "673  0.457886  0.512263  0.562989  0.424546  0.600078  0.599114  0.597508   \n",
       "\n",
       "       XMFCC4    XMFCC5    XMFCC6    XMFCC7    XMFCC8    XMFCC9   XMFCC10  \\\n",
       "525  0.406234  0.404266  0.401866  0.399035  0.395777  0.392096  0.387994   \n",
       "29   0.717627  0.714151  0.709911  0.704911  0.699155  0.692652  0.685406   \n",
       "180  0.422475  0.420429  0.417933  0.414989  0.411601  0.407772  0.403507   \n",
       "117  0.382519  0.380667  0.378407  0.375741  0.372674  0.369207  0.365345   \n",
       "124  0.410319  0.408332  0.405908  0.403048  0.399758  0.396039  0.391896   \n",
       "227  0.501836  0.499405  0.496440  0.492944  0.488919  0.484371  0.479304   \n",
       "36   0.649357  0.646212  0.642376  0.637851  0.632643  0.626758  0.620202   \n",
       "10   0.671438  0.668186  0.664219  0.659540  0.654155  0.648070  0.641291   \n",
       "33   0.719358  0.715874  0.711623  0.706611  0.700842  0.694322  0.687059   \n",
       "425  0.446396  0.444234  0.441597  0.438486  0.434906  0.430861  0.426354   \n",
       "504  0.164730  0.163932  0.162959  0.161811  0.160490  0.158997  0.157334   \n",
       "146  0.445809  0.443650  0.441016  0.437910  0.434334  0.430294  0.425793   \n",
       "50   0.558522  0.555817  0.552517  0.548625  0.544146  0.539084  0.533445   \n",
       "283  0.451718  0.449531  0.446862  0.443714  0.440092  0.435998  0.431437   \n",
       "186  0.215566  0.214522  0.213248  0.211746  0.210017  0.208063  0.205887   \n",
       "93   0.362588  0.360832  0.358690  0.356163  0.353255  0.349969  0.346308   \n",
       "165  0.288198  0.286802  0.285099  0.283091  0.280780  0.278168  0.275258   \n",
       "539  0.237611  0.236460  0.235056  0.233400  0.231495  0.229341  0.226942   \n",
       "227  0.653261  0.650097  0.646237  0.641685  0.636446  0.630526  0.623930   \n",
       "673  0.595263  0.592380  0.588863  0.584715  0.579941  0.574546  0.568536   \n",
       "\n",
       "      XMFCC11   XMFCC12    YMFCC0    YMFCC1    YMFCC2    YMFCC3    YMFCC4  \\\n",
       "525  0.383477  0.378549  0.362564  0.512469  0.511646  0.510274  0.508357   \n",
       "29   0.677426  0.668721  0.508421  0.718631  0.717476  0.715553  0.712864   \n",
       "180  0.398809  0.393684  0.283922  0.401312  0.400667  0.399593  0.398092   \n",
       "117  0.361091  0.356451  0.286066  0.404342  0.403693  0.402611  0.401098   \n",
       "124  0.387334  0.382357  0.223221  0.315513  0.315007  0.314162  0.312982   \n",
       "227  0.473724  0.467636  0.335145  0.473712  0.472951  0.471684  0.469911   \n",
       "36   0.612981  0.605105  0.396296  0.560147  0.559247  0.557748  0.555652   \n",
       "10   0.633825  0.625680  0.455218  0.643430  0.642397  0.640675  0.638267   \n",
       "33   0.679061  0.670335  0.500478  0.707404  0.706267  0.704375  0.701728   \n",
       "425  0.421390  0.415975 -0.128159 -0.181148 -0.180857 -0.180372 -0.179694   \n",
       "504  0.155502  0.153504  0.325891  0.460632  0.459892  0.458660  0.456936   \n",
       "146  0.420836  0.415428  0.095354  0.134779  0.134563  0.134202  0.133698   \n",
       "50   0.527235  0.520460  0.310031  0.438215  0.437511  0.436339  0.434699   \n",
       "283  0.426414  0.420935  0.138353  0.195556  0.195242  0.194719  0.193987   \n",
       "186  0.203490  0.200875  0.336736  0.475961  0.475197  0.473923  0.472142   \n",
       "93   0.342277  0.337878  0.247455  0.349767  0.349205  0.348270  0.346961   \n",
       "165  0.272053  0.268557  0.358304  0.506447  0.505634  0.504279  0.502384   \n",
       "539  0.224300  0.221418  0.347760  0.491543  0.490753  0.489438  0.487599   \n",
       "227  0.616666  0.608742  0.453756  0.641364  0.640333  0.638617  0.636217   \n",
       "673  0.561917  0.554697  0.435366  0.615372  0.614383  0.612736  0.610434   \n",
       "\n",
       "       YMFCC5    YMFCC6    YMFCC7    YMFCC8    YMFCC9   YMFCC10   YMFCC11  \\\n",
       "525  0.505895  0.502891  0.499349  0.495272  0.490665  0.485532  0.479880   \n",
       "29   0.709412  0.705200  0.700233  0.694516  0.688055  0.680857  0.672931   \n",
       "180  0.396164  0.393811  0.391038  0.387845  0.384237  0.380218  0.375791   \n",
       "117  0.399155  0.396785  0.393991  0.390774  0.387139  0.383089  0.378629   \n",
       "124  0.311466  0.309617  0.307436  0.304926  0.302089  0.298929  0.295449   \n",
       "227  0.467635  0.464859  0.461584  0.457816  0.453557  0.448813  0.443588   \n",
       "36   0.552961  0.549678  0.545806  0.541350  0.536314  0.530704  0.524525   \n",
       "10   0.635176  0.631405  0.626958  0.621839  0.616054  0.609610  0.602513   \n",
       "33   0.698329  0.694183  0.689293  0.683666  0.677306  0.670221  0.662418   \n",
       "425 -0.178824 -0.177762 -0.176510 -0.175069 -0.173440 -0.171626 -0.169628   \n",
       "504  0.454723  0.452023  0.448839  0.445175  0.441034  0.436420  0.431339   \n",
       "146  0.133050  0.132260  0.131329  0.130256  0.129045  0.127695  0.126208   \n",
       "50   0.432594  0.430025  0.426996  0.423510  0.419570  0.415181  0.410348   \n",
       "283  0.193048  0.191902  0.190550  0.188994  0.187236  0.185277  0.183120   \n",
       "186  0.469856  0.467066  0.463776  0.459990  0.455711  0.450944  0.445694   \n",
       "93   0.345281  0.343230  0.340813  0.338030  0.334886  0.331383  0.327525   \n",
       "165  0.499951  0.496982  0.493482  0.489453  0.484899  0.479827  0.474241   \n",
       "539  0.485237  0.482356  0.478959  0.475048  0.470629  0.465706  0.460284   \n",
       "227  0.633136  0.629377  0.624944  0.619842  0.614076  0.607652  0.600578   \n",
       "673  0.607477  0.603871  0.599617  0.594722  0.589189  0.583026  0.576238   \n",
       "\n",
       "      YMFCC12    ZMFCC0    ZMFCC1    ZMFCC2    ZMFCC3    ZMFCC4    ZMFCC5  \\\n",
       "525  0.473713  0.367632  0.519632  0.518798  0.517407  0.515463  0.512967   \n",
       "29   0.664284  0.542190  0.766362  0.765131  0.763080  0.760213  0.756531   \n",
       "180  0.370962  0.121822  0.172190  0.171913  0.171452  0.170808  0.169981   \n",
       "117  0.373764  0.259107  0.366236  0.365648  0.364668  0.363298  0.361538   \n",
       "124  0.291653  0.250119  0.353533  0.352965  0.352019  0.350696  0.348997   \n",
       "227  0.437887  0.356386  0.503736  0.502927  0.501579  0.499694  0.497274   \n",
       "36   0.517785  0.410214  0.579819  0.578888  0.577337  0.575167  0.572381   \n",
       "10   0.594771  0.457840  0.647136  0.646097  0.644365  0.641944  0.638835   \n",
       "33   0.653906  0.532676  0.752914  0.751704  0.749690  0.746873  0.743256   \n",
       "425 -0.167448  0.245810  0.347441  0.346883  0.345954  0.344654  0.342984   \n",
       "504  0.425797  0.243439  0.344090  0.343538  0.342617  0.341329  0.339676   \n",
       "146  0.124586  0.211410  0.298819  0.298338  0.297539  0.296421  0.294985   \n",
       "50   0.405075  0.376823  0.532623  0.531767  0.530342  0.528349  0.525790   \n",
       "283  0.180767  0.235420  0.332756  0.332221  0.331331  0.330086  0.328487   \n",
       "186  0.439967  0.042329  0.059830  0.059734  0.059574  0.059350  0.059063   \n",
       "93   0.323316  0.260528  0.368245  0.367653  0.366668  0.365290  0.363521   \n",
       "165  0.468147  0.305031  0.431148  0.430455  0.429301  0.427688  0.425617   \n",
       "539  0.454370  0.155438  0.219705  0.219352  0.218765  0.217942  0.216887   \n",
       "227  0.592860  0.485358  0.686032  0.684930  0.683094  0.680527  0.677231   \n",
       "673  0.568834  0.475937  0.672716  0.671635  0.669835  0.667318  0.664086   \n",
       "\n",
       "       ZMFCC6    ZMFCC7    ZMFCC8    ZMFCC9   ZMFCC10   ZMFCC11   ZMFCC12  \\\n",
       "525  0.509921  0.506329  0.502195  0.497524  0.492319  0.486588  0.480335   \n",
       "29   0.752039  0.746742  0.740645  0.733756  0.726080  0.717627  0.708405   \n",
       "180  0.168972  0.167781  0.166412  0.164864  0.163139  0.161240  0.159168   \n",
       "117  0.359391  0.356860  0.353947  0.350654  0.346986  0.342946  0.338539   \n",
       "124  0.346925  0.344482  0.341669  0.338491  0.334950  0.331051  0.326797   \n",
       "227  0.494322  0.490840  0.486833  0.482304  0.477259  0.471702  0.465641   \n",
       "36   0.568983  0.564975  0.560363  0.555150  0.549343  0.542947  0.535970   \n",
       "10   0.635042  0.630569  0.625421  0.619603  0.613121  0.605983  0.598196   \n",
       "33   0.738843  0.733638  0.727649  0.720880  0.713339  0.705034  0.695975   \n",
       "425  0.340948  0.338546  0.335782  0.332659  0.329179  0.325347  0.321166   \n",
       "504  0.337660  0.335281  0.332544  0.329450  0.326004  0.322209  0.318068   \n",
       "146  0.293234  0.291168  0.288791  0.286105  0.283112  0.279816  0.276220   \n",
       "50   0.522669  0.518987  0.514750  0.509961  0.504627  0.498752  0.492343   \n",
       "283  0.326537  0.324237  0.321590  0.318598  0.315265  0.311595  0.307591   \n",
       "186  0.058712  0.058298  0.057822  0.057285  0.056685  0.056025  0.055305   \n",
       "93   0.361362  0.358817  0.355888  0.352577  0.348889  0.344827  0.340396   \n",
       "165  0.423090  0.420110  0.416680  0.412804  0.408485  0.403730  0.398542   \n",
       "539  0.215599  0.214081  0.212333  0.210358  0.208157  0.205734  0.203090   \n",
       "227  0.673210  0.668469  0.663011  0.656843  0.649972  0.642405  0.634150   \n",
       "673  0.660143  0.655494  0.650142  0.644094  0.637356  0.629936  0.621842   \n",
       "\n",
       "        XYCOS     XZCOS     YZCOS     XYCOR     XZCOR     YZCOR  RESULTANT  \n",
       "525 -0.037445  0.067573  0.822516 -0.211898  0.147848 -0.281207   10.17730  \n",
       "29   0.793341 -0.100665 -0.366159  0.689629 -0.112891 -0.421053   13.54710  \n",
       "180  0.999824  0.997937  0.998114 -0.502669 -0.319956  0.044484    9.98778  \n",
       "117  0.992291  0.998383  0.994871 -0.812521  0.597703 -0.714481   10.12720  \n",
       "124  0.999562 -0.999716 -0.999668 -0.604669  0.488538  0.134116    9.58281  \n",
       "227  0.693095  0.935626  0.803493 -0.614229 -0.297156 -0.123588    9.91825  \n",
       "36   0.608601  0.093908 -0.095667  0.363375  0.022760 -0.171518   10.68620  \n",
       "10   0.303752  0.614119 -0.139988  0.309281  0.697950  0.230838   11.81440  \n",
       "33   0.763157 -0.125450 -0.389628  0.658566 -0.089956 -0.403857   13.87320  \n",
       "425 -0.993230 -0.999951  0.993339  0.211712  0.399600  0.012198    9.63780  \n",
       "504  0.995881 -0.993901 -0.999293 -0.077469  0.479512  0.366584   10.07340  \n",
       "146 -0.999813  0.999944 -0.999760 -0.249240 -0.355753  0.044736    9.28848  \n",
       "50   0.387023  0.904118  0.391008 -0.023406  0.216251  0.049408    9.42530  \n",
       "283 -0.999669 -0.999898  0.999513 -0.611045  0.643699 -0.077101    9.94633  \n",
       "186  0.998121 -0.993954 -0.992936 -0.565490 -0.400813 -0.172438    9.81508  \n",
       "93   0.999988  0.999984  0.999983  0.242148  0.055951  0.103954    9.27362  \n",
       "165  0.780512 -0.628701 -0.854950 -0.766425  0.870446 -0.451805    9.85985  \n",
       "539 -0.700279 -0.214007  0.428025  0.137569  0.151954 -0.188543    9.33747  \n",
       "227  0.642835 -0.030724  0.090648  0.192611 -0.115386  0.024962   11.08780  \n",
       "673 -0.158025 -0.623424  0.367385  0.359604  0.481430  0.138141   10.73950  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "Data preprocessing to remove spaces in column names and remove patient ID\n",
    "\"\"\"\n",
    "selection = phone_accel_df\n",
    "old_column_names = selection.columns\n",
    "new_column_names = []\n",
    "for name in old_column_names:\n",
    "    new_column_names.append(name.replace('\"', ''))\n",
    "\n",
    "replacement_dict = dict(zip(old_column_names, new_column_names))\n",
    "database = phone_accel_df.rename(columns = replacement_dict)\n",
    "labelencoder = LabelEncoder()\n",
    "database['ACTIVITY'] = labelencoder.fit_transform(database['ACTIVITY'])\n",
    "database['ACTIVITY'].unique()\n",
    "database.pop('class')\n",
    "\n",
    "database_shuffle = shuffle(database)\n",
    "database_shuffle.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(23074, 92)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "Converting dataframe to numpy array for ML models\n",
    "\"\"\"\n",
    "numpy_data_shuffle = database_shuffle.to_numpy()\n",
    "numpy_data_shuffle.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\nSECTION TO BE DELETED!\\n'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "SECTION TO BE DELETED!\n",
    "\"\"\"\n",
    "\n",
    "# replacement_dict = dict(zip(old_column_names, new_column_names))\n",
    "# replacement_dict\n",
    "# database = phone_accel_df.rename(columns = replacement_dict)\n",
    "# database.head()\n",
    "# labelencoder = LabelEncoder()\n",
    "# database['ACTIVITY'] = labelencoder.fit_transform(database['ACTIVITY'])\n",
    "# database.head()\n",
    "# database['ACTIVITY'].unique()\n",
    "# database.pop('class')\n",
    "# database.info()\n",
    "# database_shuffle = shuffle(database)\n",
    "# database.head(20)\n",
    "# database_shuffle.head(20)\n",
    "# numpy_data_shuffle = database_shuffle.to_numpy()\n",
    "# numpy_data_shuffle.shape\n",
    "# numpy_data = database.to_numpy()\n",
    "# numpy_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total data size:  (23074, 91)\n",
      "Total label size:  (23074,)\n"
     ]
    }
   ],
   "source": [
    "\"\"\"\n",
    "Splitting dataframe into data and labels\n",
    "\"\"\"\n",
    "X_phone_accel = numpy_data_shuffle[:,1:]\n",
    "Y_phone_accel = numpy_data_shuffle[:,0]\n",
    "print(\"Total data size: \", X_phone_accel.shape)\n",
    "print(\"Total label size: \", Y_phone_accel.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data shape:  (18459, 91)\n",
      "Training labels shape:  (18459,)\n",
      "Testing data shape:  (4615, 91)\n",
      "Testing labels shape:  (4615,)\n"
     ]
    }
   ],
   "source": [
    "\"\"\"\n",
    "Splitting data and labels into training and testing sets\n",
    "\"\"\"\n",
    "\n",
    "x_train_phone_accel, x_test_phone_accel, y_train_phone_accel, y_test_phone_accel = train_test_split(X_phone_accel,Y_phone_accel, test_size=0.2)\n",
    "print(\"Training data shape: \", x_train_phone_accel.shape)\n",
    "print(\"Training labels shape: \", y_train_phone_accel.shape)\n",
    "print(\"Testing data shape: \", x_test_phone_accel.shape)\n",
    "print(\"Testing labels shape: \", y_test_phone_accel.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\"\"\" \n",
    "Using PCA to reduce the dimension of the dataset\n",
    "\"\"\"\n",
    "\n",
    "X_pca_phone_accel = StandardScaler().fit_transform(X_phone_accel) # normalizing the features\n",
    "pca = PCA().fit(X_pca_phone_accel)\n",
    "\n",
    "plt.rcParams[\"figure.figsize\"] = (12,6)\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "xi = np.arange(1, 92, step=1)\n",
    "yi = np.cumsum(pca.explained_variance_ratio_)\n",
    "\n",
    "plt.ylim(0.0,1.1)\n",
    "plt.plot(xi, yi, marker='o', linestyle='--', color='b')\n",
    "\n",
    "plt.axhline(y=0.95, color='r', linestyle='-')\n",
    "plt.text(0.5, 0.85, '95% cut-off threshold', color = 'red', fontsize = 16)\n",
    "\n",
    "ax.grid(axis='x')\n",
    "plt.show()\n",
    "\n",
    "pca = PCA(n_components = 28)\n",
    "pca.fit(x_train_phone_accel)\n",
    "\n",
    "x_train_pca_phone_accel = pca.transform(x_train_phone_accel)\n",
    "x_test_pca_phone_accel = pca.transform(x_test_phone_accel)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training accuracy non PCA:  28.13803564656807\n",
      "Testing accuracy non PCA:  27.648970747562295\n",
      "Training aacuracy PCA:  38.344439027032884\n",
      "Testing accuracy PCA:  38.309859154929576\n"
     ]
    }
   ],
   "source": [
    "\"\"\"\n",
    "Fitting the data on Gaussian NB model.\n",
    "\"\"\"\n",
    "gnb = GaussianNB()\n",
    "gnb_pca = GaussianNB()\n",
    "gnb.fit(x_train_phone_accel, y_train_phone_accel)\n",
    "gnb_pca.fit(x_train_pca_phone_accel, y_train_phone_accel)\n",
    "\n",
    "y_pred_test = gnb.predict(x_test_phone_accel)\n",
    "y_pred_test_pca = gnb_pca.predict(x_test_pca_phone_accel)\n",
    "y_pred_train = gnb.predict(x_train_phone_accel)\n",
    "y_pred_train_pca = gnb_pca.predict(x_train_pca_phone_accel)\n",
    "\n",
    "acc_test = accuracy_score(y_test_phone_accel, y_pred_test)\n",
    "acc_train = accuracy_score(y_train_phone_accel, y_pred_train)\n",
    "acc_test_pca = accuracy_score(y_test_phone_accel, y_pred_test_pca)\n",
    "acc_train_pca = accuracy_score(y_train_phone_accel, y_pred_train_pca)\n",
    "\n",
    "print(\"Training accuracy non PCA: \", acc_train*100)\n",
    "print(\"Testing accuracy non PCA: \", acc_test*100)\n",
    "print(\"Training aacuracy PCA: \", acc_train_pca*100)\n",
    "print(\"Testing accuracy PCA: \", acc_test_pca*100)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "Fitting the data on Logistic regression model\n",
    "\"\"\"\n",
    "logreg = LogisticRegression(penalty = 'l1', solver = 'saga', multi_class = 'multinomial', C = 1, max_iter = 10000, n_jobs = 6)\n",
    "logreg_pca = LogisticRegression(penalty = 'l1', solver = 'saga', multi_class = 'multinomial', C = 1, max_iter = 10000, n_jobs = 6)\n",
    "logreg.fit(x_train_phone_accel,y_train_phone_accel)\n",
    "logreg_pca.fit(x_train_pca_phone_accel, y_train_phone_accel)\n",
    "\n",
    "y_pred_test = logreg.predict(x_test_phone_accel)\n",
    "y_pred_test_pca = logreg_pca.predict(x_test_pca_phone_accel)\n",
    "y_pred_train = logreg.predict(x_train_phone_accel)\n",
    "y_pred_train_pca = logreg_pca.predict(x_train_pca_phone_accel)\n",
    "\n",
    "acc_test = accuracy_score(y_test_phone_accel, y_pred_test)\n",
    "acc_train = accuracy_score(y_train_phone_accel, y_pred_train)\n",
    "acc_test_pca = accuracy_score(y_test_phone_accel, y_pred_test_pca)\n",
    "acc_train_pca = accuracy_score(y_train_phone_accel, y_pred_train_pca)\n",
    "\n",
    "print(\"Training accuracy non PCA: \", acc_train*100)\n",
    "print(\"Testing accuracy non PCA: \", acc_test*100)\n",
    "print(\"Training aacuracy PCA: \", acc_train_pca*100)\n",
    "print(\"Testing accuracy PCA: \", acc_test_pca*100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0\n",
      "0.8611050920910076\n"
     ]
    }
   ],
   "source": [
    "\"\"\"\n",
    "Fitting the data on Random forest classifier\n",
    "\"\"\"\n",
    "clf = RandomForestClassifier(random_state=0, n_jobs = 6)\n",
    "clf_pca = RandomForestClassifier(random_state=0, n_jobs = 6)\n",
    "clf.fit(x_train_phone_accel,y_train_phone_accel)\n",
    "clf_pca.fit(x_train_pca_phone_accel, y_train_phone_accel)\n",
    "\n",
    "y_pred_test = clf.predict(x_test_phone_accel)\n",
    "y_pred_test_pca = clf_pca.predict(x_test_pca_phone_accel)\n",
    "y_pred_train = clf.predict(x_train_phone_accel)\n",
    "y_pred_train_pca = clf_pca.predict(x_train_pca_phone_accel)\n",
    "\n",
    "acc_test = accuracy_score(y_test_phone_accel, y_pred_test)\n",
    "acc_train = accuracy_score(y_train_phone_accel, y_pred_train)\n",
    "acc_test_pca = accuracy_score(y_test_phone_accel, y_pred_test_pca)\n",
    "acc_train_pca = accuracy_score(y_train_phone_accel, y_pred_train_pca)\n",
    "\n",
    "print(\"Training accuracy non PCA: \", acc_train*100)\n",
    "print(\"Testing accuracy non PCA: \", acc_test*100)\n",
    "print(\"Training aacuracy PCA: \", acc_train_pca*100)\n",
    "print(\"Testing accuracy PCA: \", acc_test_pca*100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### hyper opt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "space = {\n",
    "    \"n_estimators\": hp.quniform(\"n_estimators\", 100, 600, 50),\n",
    "    \"max_depth\": hp.quniform(\"max_depth\", 1, 15,1),\n",
    "    \"criterion\": hp.choice(\"criterion\", [\"gini\", \"entropy\"]),\n",
    "    \"min_samples_split\": hp.quniform(\"min_samples_split\", 2, 10, 1),\n",
    "    \"max_features\": hp.choice(\"max_features\", [\"auto\",\"sqrt\",\"log2\"]),\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "def hyperparameter_tuning(params):\n",
    "    clf = RandomForestClassifier(**params,n_jobs=-1)\n",
    "    acc = cross_val_score(clf, x_train, y_train,scoring=\"accuracy\").mean()\n",
    "    return {\"loss\": -acc, \"status\": STATUS_OK}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  2%|█▎                                                                | 2/100 [00:00<00:06, 15.94trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  6%|███▉                                                              | 6/100 [00:00<00:05, 16.67trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 10%|██████▌                                                          | 10/100 [00:00<00:05, 17.55trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      " 12%|███████▊                                                         | 12/100 [00:00<00:05, 15.35trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 16%|██████████▍                                                      | 16/100 [00:00<00:05, 16.38trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      " 18%|███████████▋                                                     | 18/100 [00:01<00:04, 16.51trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 22%|██████████████▎                                                  | 22/100 [00:01<00:04, 16.84trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 26%|████████████████▉                                                | 26/100 [00:01<00:04, 17.39trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 30%|███████████████████▌                                             | 30/100 [00:01<00:04, 17.29trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      " 32%|████████████████████▊                                            | 32/100 [00:01<00:03, 17.28trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 36%|███████████████████████▍                                         | 36/100 [00:02<00:03, 17.57trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 40%|██████████████████████████                                       | 40/100 [00:02<00:03, 16.06trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      " 42%|███████████████████████████▎                                     | 42/100 [00:02<00:03, 15.44trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 46%|█████████████████████████████▉                                   | 46/100 [00:02<00:03, 15.98trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      " 48%|███████████████████████████████▏                                 | 48/100 [00:02<00:03, 16.32trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 52%|█████████████████████████████████▊                               | 52/100 [00:03<00:02, 17.21trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 56%|████████████████████████████████████▍                            | 56/100 [00:03<00:02, 17.77trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      " 58%|█████████████████████████████████████▋                           | 58/100 [00:03<00:02, 16.31trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 62%|████████████████████████████████████████▎                        | 62/100 [00:03<00:02, 16.13trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 66%|██████████████████████████████████████████▉                      | 66/100 [00:03<00:02, 16.91trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      " 68%|████████████████████████████████████████████▏                    | 68/100 [00:04<00:02, 15.81trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 72%|██████████████████████████████████████████████▊                  | 72/100 [00:04<00:01, 15.01trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      " 74%|████████████████████████████████████████████████                 | 74/100 [00:04<00:01, 14.26trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      " 76%|█████████████████████████████████████████████████▍               | 76/100 [00:04<00:01, 14.07trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 80%|████████████████████████████████████████████████████             | 80/100 [00:04<00:01, 13.35trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      " 82%|█████████████████████████████████████████████████████▎           | 82/100 [00:05<00:01, 12.93trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      " 84%|██████████████████████████████████████████████████████▌          | 84/100 [00:05<00:01, 13.22trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 88%|█████████████████████████████████████████████████████████▏       | 88/100 [00:05<00:00, 13.68trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      " 90%|██████████████████████████████████████████████████████████▌      | 90/100 [00:05<00:00, 13.65trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 94%|█████████████████████████████████████████████████████████████    | 94/100 [00:06<00:00, 13.89trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      " 96%|██████████████████████████████████████████████████████████████▍  | 96/100 [00:06<00:00, 14.19trial/s, best loss=?]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████| 100/100 [00:06<00:00, 15.58trial/s, best loss=?]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n",
      "C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 531, in _fit_and_score\n",
      "    estimator.fit(X_train, y_train, **fit_params)\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\", line 348, in fit\n",
      "    self._validate_estimator()\n",
      "  File \"C:\\Users\\ASUS\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_base.py\", line 130, in _validate_estimator\n",
      "    raise ValueError(\"n_estimators must be an integer, \"\n",
      "ValueError: n_estimators must be an integer, got <class 'float'>.\n",
      "\n",
      "  warnings.warn(\"Estimator fit failed. The score on this train-test\"\n",
      "\n"
     ]
    },
    {
     "ename": "AllTrialsFailed",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAllTrialsFailed\u001b[0m                           Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-57-c0d7b279c083>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mtrials\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mTrials\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m best = fmin(\n\u001b[0m\u001b[0;32m      4\u001b[0m     \u001b[0mfn\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mhyperparameter_tuning\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m     \u001b[0mspace\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mspace\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\hyperopt\\fmin.py\u001b[0m in \u001b[0;36mfmin\u001b[1;34m(fn, space, algo, max_evals, timeout, loss_threshold, trials, rstate, allow_trials_fmin, pass_expr_memo_ctrl, catch_eval_exceptions, verbose, return_argmin, points_to_evaluate, max_queue_len, show_progressbar, early_stop_fn, trials_save_file)\u001b[0m\n\u001b[0;32m    538\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    539\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mallow_trials_fmin\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mhasattr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtrials\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"fmin\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 540\u001b[1;33m         return trials.fmin(\n\u001b[0m\u001b[0;32m    541\u001b[0m             \u001b[0mfn\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    542\u001b[0m             \u001b[0mspace\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\hyperopt\\base.py\u001b[0m in \u001b[0;36mfmin\u001b[1;34m(self, fn, space, algo, max_evals, timeout, loss_threshold, max_queue_len, rstate, verbose, pass_expr_memo_ctrl, catch_eval_exceptions, return_argmin, show_progressbar, early_stop_fn, trials_save_file)\u001b[0m\n\u001b[0;32m    669\u001b[0m         \u001b[1;32mfrom\u001b[0m \u001b[1;33m.\u001b[0m\u001b[0mfmin\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mfmin\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    670\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 671\u001b[1;33m         return fmin(\n\u001b[0m\u001b[0;32m    672\u001b[0m             \u001b[0mfn\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    673\u001b[0m             \u001b[0mspace\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\hyperopt\\fmin.py\u001b[0m in \u001b[0;36mfmin\u001b[1;34m(fn, space, algo, max_evals, timeout, loss_threshold, trials, rstate, allow_trials_fmin, pass_expr_memo_ctrl, catch_eval_exceptions, verbose, return_argmin, points_to_evaluate, max_queue_len, show_progressbar, early_stop_fn, trials_save_file)\u001b[0m\n\u001b[0;32m    591\u001b[0m                 \u001b[1;34m\"There are no evaluation tasks, cannot return argmin of task losses.\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    592\u001b[0m             )\n\u001b[1;32m--> 593\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mtrials\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0margmin\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    594\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtrials\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    595\u001b[0m         \u001b[1;31m# Only if there are some successful trail runs, return the best point in\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\hyperopt\\base.py\u001b[0m in \u001b[0;36margmin\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    618\u001b[0m     \u001b[1;33m@\u001b[0m\u001b[0mproperty\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    619\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0margmin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 620\u001b[1;33m         \u001b[0mbest_trial\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mbest_trial\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    621\u001b[0m         \u001b[0mvals\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mbest_trial\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"misc\"\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"vals\"\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    622\u001b[0m         \u001b[1;31m# unpack the one-element lists to values\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\hyperopt\\base.py\u001b[0m in \u001b[0;36mbest_trial\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    609\u001b[0m         ]\n\u001b[0;32m    610\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mcandidates\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 611\u001b[1;33m             \u001b[1;32mraise\u001b[0m \u001b[0mAllTrialsFailed\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    612\u001b[0m         \u001b[0mlosses\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0mfloat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mt\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"result\"\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"loss\"\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mt\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mcandidates\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    613\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlosses\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mAllTrialsFailed\u001b[0m: "
     ]
    }
   ],
   "source": [
    "trials = Trials()\n",
    "\n",
    "best = fmin(\n",
    "    fn=hyperparameter_tuning,\n",
    "    space = space, \n",
    "    algo=tpe.suggest, \n",
    "    max_evals=100, \n",
    "    trials=trials\n",
    ")\n",
    "\n",
    "print(\"Best: {}\".format(best))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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