Different Sampling Techniques.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 180,
   "id": "f8a40792",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import random as rd\n",
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "418a5c3a",
   "metadata": {},
   "source": [
    "## Load the Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "61fb1c07",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>V1</th>\n",
       "      <th>V2</th>\n",
       "      <th>V3</th>\n",
       "      <th>V4</th>\n",
       "      <th>V5</th>\n",
       "      <th>V6</th>\n",
       "      <th>V7</th>\n",
       "      <th>V8</th>\n",
       "      <th>V9</th>\n",
       "      <th>...</th>\n",
       "      <th>V21</th>\n",
       "      <th>V22</th>\n",
       "      <th>V23</th>\n",
       "      <th>V24</th>\n",
       "      <th>V25</th>\n",
       "      <th>V26</th>\n",
       "      <th>V27</th>\n",
       "      <th>V28</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>-1.359807</td>\n",
       "      <td>-0.072781</td>\n",
       "      <td>2.536347</td>\n",
       "      <td>1.378155</td>\n",
       "      <td>-0.338321</td>\n",
       "      <td>0.462388</td>\n",
       "      <td>0.239599</td>\n",
       "      <td>0.098698</td>\n",
       "      <td>0.363787</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.018307</td>\n",
       "      <td>0.277838</td>\n",
       "      <td>-0.110474</td>\n",
       "      <td>0.066928</td>\n",
       "      <td>0.128539</td>\n",
       "      <td>-0.189115</td>\n",
       "      <td>0.133558</td>\n",
       "      <td>-0.021053</td>\n",
       "      <td>149.62</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>1.191857</td>\n",
       "      <td>0.266151</td>\n",
       "      <td>0.166480</td>\n",
       "      <td>0.448154</td>\n",
       "      <td>0.060018</td>\n",
       "      <td>-0.082361</td>\n",
       "      <td>-0.078803</td>\n",
       "      <td>0.085102</td>\n",
       "      <td>-0.255425</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.225775</td>\n",
       "      <td>-0.638672</td>\n",
       "      <td>0.101288</td>\n",
       "      <td>-0.339846</td>\n",
       "      <td>0.167170</td>\n",
       "      <td>0.125895</td>\n",
       "      <td>-0.008983</td>\n",
       "      <td>0.014724</td>\n",
       "      <td>2.69</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>-1.358354</td>\n",
       "      <td>-1.340163</td>\n",
       "      <td>1.773209</td>\n",
       "      <td>0.379780</td>\n",
       "      <td>-0.503198</td>\n",
       "      <td>1.800499</td>\n",
       "      <td>0.791461</td>\n",
       "      <td>0.247676</td>\n",
       "      <td>-1.514654</td>\n",
       "      <td>...</td>\n",
       "      <td>0.247998</td>\n",
       "      <td>0.771679</td>\n",
       "      <td>0.909412</td>\n",
       "      <td>-0.689281</td>\n",
       "      <td>-0.327642</td>\n",
       "      <td>-0.139097</td>\n",
       "      <td>-0.055353</td>\n",
       "      <td>-0.059752</td>\n",
       "      <td>378.66</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>-0.966272</td>\n",
       "      <td>-0.185226</td>\n",
       "      <td>1.792993</td>\n",
       "      <td>-0.863291</td>\n",
       "      <td>-0.010309</td>\n",
       "      <td>1.247203</td>\n",
       "      <td>0.237609</td>\n",
       "      <td>0.377436</td>\n",
       "      <td>-1.387024</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.108300</td>\n",
       "      <td>0.005274</td>\n",
       "      <td>-0.190321</td>\n",
       "      <td>-1.175575</td>\n",
       "      <td>0.647376</td>\n",
       "      <td>-0.221929</td>\n",
       "      <td>0.062723</td>\n",
       "      <td>0.061458</td>\n",
       "      <td>123.50</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2</td>\n",
       "      <td>-1.158233</td>\n",
       "      <td>0.877737</td>\n",
       "      <td>1.548718</td>\n",
       "      <td>0.403034</td>\n",
       "      <td>-0.407193</td>\n",
       "      <td>0.095921</td>\n",
       "      <td>0.592941</td>\n",
       "      <td>-0.270533</td>\n",
       "      <td>0.817739</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.009431</td>\n",
       "      <td>0.798278</td>\n",
       "      <td>-0.137458</td>\n",
       "      <td>0.141267</td>\n",
       "      <td>-0.206010</td>\n",
       "      <td>0.502292</td>\n",
       "      <td>0.219422</td>\n",
       "      <td>0.215153</td>\n",
       "      <td>69.99</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>767</th>\n",
       "      <td>575</td>\n",
       "      <td>-0.572263</td>\n",
       "      <td>0.731748</td>\n",
       "      <td>1.541254</td>\n",
       "      <td>0.150506</td>\n",
       "      <td>1.108974</td>\n",
       "      <td>0.372152</td>\n",
       "      <td>1.084879</td>\n",
       "      <td>-0.146329</td>\n",
       "      <td>-0.274447</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.143508</td>\n",
       "      <td>-0.107582</td>\n",
       "      <td>-0.418263</td>\n",
       "      <td>-0.731029</td>\n",
       "      <td>0.877525</td>\n",
       "      <td>-0.364150</td>\n",
       "      <td>-0.177509</td>\n",
       "      <td>-0.256545</td>\n",
       "      <td>26.72</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>768</th>\n",
       "      <td>579</td>\n",
       "      <td>-1.296845</td>\n",
       "      <td>-0.511605</td>\n",
       "      <td>2.404726</td>\n",
       "      <td>-0.310762</td>\n",
       "      <td>-0.319551</td>\n",
       "      <td>-0.542842</td>\n",
       "      <td>-0.173310</td>\n",
       "      <td>0.260423</td>\n",
       "      <td>-1.202688</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.071270</td>\n",
       "      <td>-0.161175</td>\n",
       "      <td>0.088496</td>\n",
       "      <td>0.285390</td>\n",
       "      <td>0.281069</td>\n",
       "      <td>-0.370130</td>\n",
       "      <td>0.043410</td>\n",
       "      <td>0.092318</td>\n",
       "      <td>80.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>769</th>\n",
       "      <td>579</td>\n",
       "      <td>1.214170</td>\n",
       "      <td>0.210481</td>\n",
       "      <td>0.484651</td>\n",
       "      <td>0.479768</td>\n",
       "      <td>-0.261955</td>\n",
       "      <td>-0.527039</td>\n",
       "      <td>0.021782</td>\n",
       "      <td>-0.106888</td>\n",
       "      <td>-0.037631</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.224292</td>\n",
       "      <td>-0.594609</td>\n",
       "      <td>0.159877</td>\n",
       "      <td>0.091873</td>\n",
       "      <td>0.140964</td>\n",
       "      <td>0.227406</td>\n",
       "      <td>-0.017389</td>\n",
       "      <td>0.016030</td>\n",
       "      <td>5.98</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>770</th>\n",
       "      <td>580</td>\n",
       "      <td>1.267030</td>\n",
       "      <td>-0.071114</td>\n",
       "      <td>0.037680</td>\n",
       "      <td>0.512683</td>\n",
       "      <td>0.242392</td>\n",
       "      <td>0.705212</td>\n",
       "      <td>-0.226582</td>\n",
       "      <td>0.109483</td>\n",
       "      <td>0.657565</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.164468</td>\n",
       "      <td>-0.177225</td>\n",
       "      <td>-0.222918</td>\n",
       "      <td>-1.245505</td>\n",
       "      <td>0.678360</td>\n",
       "      <td>0.525059</td>\n",
       "      <td>0.002920</td>\n",
       "      <td>-0.003333</td>\n",
       "      <td>12.36</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>771</th>\n",
       "      <td>581</td>\n",
       "      <td>1.153758</td>\n",
       "      <td>0.132273</td>\n",
       "      <td>0.382969</td>\n",
       "      <td>1.405063</td>\n",
       "      <td>-0.224287</td>\n",
       "      <td>-0.197295</td>\n",
       "      <td>0.020653</td>\n",
       "      <td>0.029260</td>\n",
       "      <td>0.412254</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.107809</td>\n",
       "      <td>-0.125231</td>\n",
       "      <td>-0.057041</td>\n",
       "      <td>0.073082</td>\n",
       "      <td>0.633977</td>\n",
       "      <td>-0.310685</td>\n",
       "      <td>0.033590</td>\n",
       "      <td>0.015250</td>\n",
       "      <td>13.79</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>772 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Time        V1        V2        V3        V4        V5        V6  \\\n",
       "0       0 -1.359807 -0.072781  2.536347  1.378155 -0.338321  0.462388   \n",
       "1       0  1.191857  0.266151  0.166480  0.448154  0.060018 -0.082361   \n",
       "2       1 -1.358354 -1.340163  1.773209  0.379780 -0.503198  1.800499   \n",
       "3       1 -0.966272 -0.185226  1.792993 -0.863291 -0.010309  1.247203   \n",
       "4       2 -1.158233  0.877737  1.548718  0.403034 -0.407193  0.095921   \n",
       "..    ...       ...       ...       ...       ...       ...       ...   \n",
       "767   575 -0.572263  0.731748  1.541254  0.150506  1.108974  0.372152   \n",
       "768   579 -1.296845 -0.511605  2.404726 -0.310762 -0.319551 -0.542842   \n",
       "769   579  1.214170  0.210481  0.484651  0.479768 -0.261955 -0.527039   \n",
       "770   580  1.267030 -0.071114  0.037680  0.512683  0.242392  0.705212   \n",
       "771   581  1.153758  0.132273  0.382969  1.405063 -0.224287 -0.197295   \n",
       "\n",
       "           V7        V8        V9  ...       V21       V22       V23  \\\n",
       "0    0.239599  0.098698  0.363787  ... -0.018307  0.277838 -0.110474   \n",
       "1   -0.078803  0.085102 -0.255425  ... -0.225775 -0.638672  0.101288   \n",
       "2    0.791461  0.247676 -1.514654  ...  0.247998  0.771679  0.909412   \n",
       "3    0.237609  0.377436 -1.387024  ... -0.108300  0.005274 -0.190321   \n",
       "4    0.592941 -0.270533  0.817739  ... -0.009431  0.798278 -0.137458   \n",
       "..        ...       ...       ...  ...       ...       ...       ...   \n",
       "767  1.084879 -0.146329 -0.274447  ... -0.143508 -0.107582 -0.418263   \n",
       "768 -0.173310  0.260423 -1.202688  ... -0.071270 -0.161175  0.088496   \n",
       "769  0.021782 -0.106888 -0.037631  ... -0.224292 -0.594609  0.159877   \n",
       "770 -0.226582  0.109483  0.657565  ... -0.164468 -0.177225 -0.222918   \n",
       "771  0.020653  0.029260  0.412254  ... -0.107809 -0.125231 -0.057041   \n",
       "\n",
       "          V24       V25       V26       V27       V28  Amount  Class  \n",
       "0    0.066928  0.128539 -0.189115  0.133558 -0.021053  149.62      0  \n",
       "1   -0.339846  0.167170  0.125895 -0.008983  0.014724    2.69      1  \n",
       "2   -0.689281 -0.327642 -0.139097 -0.055353 -0.059752  378.66      0  \n",
       "3   -1.175575  0.647376 -0.221929  0.062723  0.061458  123.50      0  \n",
       "4    0.141267 -0.206010  0.502292  0.219422  0.215153   69.99      0  \n",
       "..        ...       ...       ...       ...       ...     ...    ...  \n",
       "767 -0.731029  0.877525 -0.364150 -0.177509 -0.256545   26.72      0  \n",
       "768  0.285390  0.281069 -0.370130  0.043410  0.092318   80.00      0  \n",
       "769  0.091873  0.140964  0.227406 -0.017389  0.016030    5.98      0  \n",
       "770 -1.245505  0.678360  0.525059  0.002920 -0.003333   12.36      0  \n",
       "771  0.073082  0.633977 -0.310685  0.033590  0.015250   13.79      0  \n",
       "\n",
       "[772 rows x 31 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.read_csv('Downloads/Creditcard_data.csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8d1d588a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    763\n",
       "1      9\n",
       "Name: Class, dtype: int64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Class'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "da6abde6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(763, 9)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "class_0=df[df['Class']==0]\n",
    "class_1=df[df['Class']==1]\n",
    "class_count_0,class_count_1=df['Class'].value_counts()\n",
    "class_count_0,class_count_1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8a7356b0",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "sns.countplot(df['Class'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c4040035",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2000x2000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,20))\n",
    "sns.heatmap(df.corr(), annot=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c69f63ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "X=df.iloc[:,:-1]\n",
    "Y=df.iloc[:,-1]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71da48ff",
   "metadata": {},
   "source": [
    "## Balance Dataset using inbuilt imbalance Learn module"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f69d7d55",
   "metadata": {},
   "source": [
    "## Random Over Sampling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "id": "43ae9637",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original dataset shape: Counter({0: 763, 1: 9})\n",
      "Resample dataset shape Counter({0: 763, 1: 763})\n"
     ]
    }
   ],
   "source": [
    "from collections import Counter    #Counter counts hastable objects, it implicitly creates hastable when invoked\n",
    "from imblearn.over_sampling import RandomOverSampler\n",
    "ros=RandomOverSampler(random_state=42)\n",
    "x_ros,y_ros=ros.fit_resample(X,Y)\n",
    "print('Original dataset shape:', Counter(Y))\n",
    "print('Resample dataset shape', Counter(y_ros))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "id": "3872165a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<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>Time</th>\n",
       "      <th>V1</th>\n",
       "      <th>V2</th>\n",
       "      <th>V3</th>\n",
       "      <th>V4</th>\n",
       "      <th>V5</th>\n",
       "      <th>V6</th>\n",
       "      <th>V7</th>\n",
       "      <th>V8</th>\n",
       "      <th>V9</th>\n",
       "      <th>...</th>\n",
       "      <th>V21</th>\n",
       "      <th>V22</th>\n",
       "      <th>V23</th>\n",
       "      <th>V24</th>\n",
       "      <th>V25</th>\n",
       "      <th>V26</th>\n",
       "      <th>V27</th>\n",
       "      <th>V28</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>-1.359807</td>\n",
       "      <td>-0.072781</td>\n",
       "      <td>2.536347</td>\n",
       "      <td>1.378155</td>\n",
       "      <td>-0.338321</td>\n",
       "      <td>0.462388</td>\n",
       "      <td>0.239599</td>\n",
       "      <td>0.098698</td>\n",
       "      <td>0.363787</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.018307</td>\n",
       "      <td>0.277838</td>\n",
       "      <td>-0.110474</td>\n",
       "      <td>0.066928</td>\n",
       "      <td>0.128539</td>\n",
       "      <td>-0.189115</td>\n",
       "      <td>0.133558</td>\n",
       "      <td>-0.021053</td>\n",
       "      <td>149.62</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>1.191857</td>\n",
       "      <td>0.266151</td>\n",
       "      <td>0.166480</td>\n",
       "      <td>0.448154</td>\n",
       "      <td>0.060018</td>\n",
       "      <td>-0.082361</td>\n",
       "      <td>-0.078803</td>\n",
       "      <td>0.085102</td>\n",
       "      <td>-0.255425</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.225775</td>\n",
       "      <td>-0.638672</td>\n",
       "      <td>0.101288</td>\n",
       "      <td>-0.339846</td>\n",
       "      <td>0.167170</td>\n",
       "      <td>0.125895</td>\n",
       "      <td>-0.008983</td>\n",
       "      <td>0.014724</td>\n",
       "      <td>2.69</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>-1.358354</td>\n",
       "      <td>-1.340163</td>\n",
       "      <td>1.773209</td>\n",
       "      <td>0.379780</td>\n",
       "      <td>-0.503198</td>\n",
       "      <td>1.800499</td>\n",
       "      <td>0.791461</td>\n",
       "      <td>0.247676</td>\n",
       "      <td>-1.514654</td>\n",
       "      <td>...</td>\n",
       "      <td>0.247998</td>\n",
       "      <td>0.771679</td>\n",
       "      <td>0.909412</td>\n",
       "      <td>-0.689281</td>\n",
       "      <td>-0.327642</td>\n",
       "      <td>-0.139097</td>\n",
       "      <td>-0.055353</td>\n",
       "      <td>-0.059752</td>\n",
       "      <td>378.66</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>-0.966272</td>\n",
       "      <td>-0.185226</td>\n",
       "      <td>1.792993</td>\n",
       "      <td>-0.863291</td>\n",
       "      <td>-0.010309</td>\n",
       "      <td>1.247203</td>\n",
       "      <td>0.237609</td>\n",
       "      <td>0.377436</td>\n",
       "      <td>-1.387024</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.108300</td>\n",
       "      <td>0.005274</td>\n",
       "      <td>-0.190321</td>\n",
       "      <td>-1.175575</td>\n",
       "      <td>0.647376</td>\n",
       "      <td>-0.221929</td>\n",
       "      <td>0.062723</td>\n",
       "      <td>0.061458</td>\n",
       "      <td>123.50</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2</td>\n",
       "      <td>-1.158233</td>\n",
       "      <td>0.877737</td>\n",
       "      <td>1.548718</td>\n",
       "      <td>0.403034</td>\n",
       "      <td>-0.407193</td>\n",
       "      <td>0.095921</td>\n",
       "      <td>0.592941</td>\n",
       "      <td>-0.270533</td>\n",
       "      <td>0.817739</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.009431</td>\n",
       "      <td>0.798278</td>\n",
       "      <td>-0.137458</td>\n",
       "      <td>0.141267</td>\n",
       "      <td>-0.206010</td>\n",
       "      <td>0.502292</td>\n",
       "      <td>0.219422</td>\n",
       "      <td>0.215153</td>\n",
       "      <td>69.99</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1521</th>\n",
       "      <td>529</td>\n",
       "      <td>-2.000567</td>\n",
       "      <td>-2.495484</td>\n",
       "      <td>2.467149</td>\n",
       "      <td>1.140053</td>\n",
       "      <td>2.462010</td>\n",
       "      <td>0.594262</td>\n",
       "      <td>-2.110183</td>\n",
       "      <td>0.788347</td>\n",
       "      <td>0.958809</td>\n",
       "      <td>...</td>\n",
       "      <td>0.422452</td>\n",
       "      <td>1.195394</td>\n",
       "      <td>0.297836</td>\n",
       "      <td>-0.857105</td>\n",
       "      <td>-0.219322</td>\n",
       "      <td>0.861019</td>\n",
       "      <td>-0.124622</td>\n",
       "      <td>-0.171060</td>\n",
       "      <td>1.50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1522</th>\n",
       "      <td>164</td>\n",
       "      <td>0.073497</td>\n",
       "      <td>0.551033</td>\n",
       "      <td>0.451890</td>\n",
       "      <td>0.114964</td>\n",
       "      <td>0.822947</td>\n",
       "      <td>0.251480</td>\n",
       "      <td>0.296319</td>\n",
       "      <td>0.139497</td>\n",
       "      <td>-0.123050</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.128758</td>\n",
       "      <td>-0.381932</td>\n",
       "      <td>0.151012</td>\n",
       "      <td>-1.363967</td>\n",
       "      <td>-1.389079</td>\n",
       "      <td>0.075412</td>\n",
       "      <td>0.231750</td>\n",
       "      <td>0.230171</td>\n",
       "      <td>0.99</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1523</th>\n",
       "      <td>164</td>\n",
       "      <td>0.073497</td>\n",
       "      <td>0.551033</td>\n",
       "      <td>0.451890</td>\n",
       "      <td>0.114964</td>\n",
       "      <td>0.822947</td>\n",
       "      <td>0.251480</td>\n",
       "      <td>0.296319</td>\n",
       "      <td>0.139497</td>\n",
       "      <td>-0.123050</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.128758</td>\n",
       "      <td>-0.381932</td>\n",
       "      <td>0.151012</td>\n",
       "      <td>-1.363967</td>\n",
       "      <td>-1.389079</td>\n",
       "      <td>0.075412</td>\n",
       "      <td>0.231750</td>\n",
       "      <td>0.230171</td>\n",
       "      <td>0.99</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1524</th>\n",
       "      <td>539</td>\n",
       "      <td>-1.738582</td>\n",
       "      <td>0.052740</td>\n",
       "      <td>1.187057</td>\n",
       "      <td>-0.656652</td>\n",
       "      <td>0.920623</td>\n",
       "      <td>-0.291788</td>\n",
       "      <td>0.269083</td>\n",
       "      <td>0.140631</td>\n",
       "      <td>0.023464</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.179545</td>\n",
       "      <td>-0.192036</td>\n",
       "      <td>-0.261879</td>\n",
       "      <td>-0.237477</td>\n",
       "      <td>-0.335040</td>\n",
       "      <td>0.240323</td>\n",
       "      <td>-0.345129</td>\n",
       "      <td>-0.383563</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1525</th>\n",
       "      <td>472</td>\n",
       "      <td>-3.043541</td>\n",
       "      <td>-3.157307</td>\n",
       "      <td>1.088463</td>\n",
       "      <td>2.288644</td>\n",
       "      <td>1.359805</td>\n",
       "      <td>-1.064823</td>\n",
       "      <td>0.325574</td>\n",
       "      <td>-0.067794</td>\n",
       "      <td>-0.270953</td>\n",
       "      <td>...</td>\n",
       "      <td>0.661696</td>\n",
       "      <td>0.435477</td>\n",
       "      <td>1.375966</td>\n",
       "      <td>-0.293803</td>\n",
       "      <td>0.279798</td>\n",
       "      <td>-0.145362</td>\n",
       "      <td>-0.252773</td>\n",
       "      <td>0.035764</td>\n",
       "      <td>529.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1526 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Time        V1        V2        V3        V4        V5        V6  \\\n",
       "0        0 -1.359807 -0.072781  2.536347  1.378155 -0.338321  0.462388   \n",
       "1        0  1.191857  0.266151  0.166480  0.448154  0.060018 -0.082361   \n",
       "2        1 -1.358354 -1.340163  1.773209  0.379780 -0.503198  1.800499   \n",
       "3        1 -0.966272 -0.185226  1.792993 -0.863291 -0.010309  1.247203   \n",
       "4        2 -1.158233  0.877737  1.548718  0.403034 -0.407193  0.095921   \n",
       "...    ...       ...       ...       ...       ...       ...       ...   \n",
       "1521   529 -2.000567 -2.495484  2.467149  1.140053  2.462010  0.594262   \n",
       "1522   164  0.073497  0.551033  0.451890  0.114964  0.822947  0.251480   \n",
       "1523   164  0.073497  0.551033  0.451890  0.114964  0.822947  0.251480   \n",
       "1524   539 -1.738582  0.052740  1.187057 -0.656652  0.920623 -0.291788   \n",
       "1525   472 -3.043541 -3.157307  1.088463  2.288644  1.359805 -1.064823   \n",
       "\n",
       "            V7        V8        V9  ...       V21       V22       V23  \\\n",
       "0     0.239599  0.098698  0.363787  ... -0.018307  0.277838 -0.110474   \n",
       "1    -0.078803  0.085102 -0.255425  ... -0.225775 -0.638672  0.101288   \n",
       "2     0.791461  0.247676 -1.514654  ...  0.247998  0.771679  0.909412   \n",
       "3     0.237609  0.377436 -1.387024  ... -0.108300  0.005274 -0.190321   \n",
       "4     0.592941 -0.270533  0.817739  ... -0.009431  0.798278 -0.137458   \n",
       "...        ...       ...       ...  ...       ...       ...       ...   \n",
       "1521 -2.110183  0.788347  0.958809  ...  0.422452  1.195394  0.297836   \n",
       "1522  0.296319  0.139497 -0.123050  ... -0.128758 -0.381932  0.151012   \n",
       "1523  0.296319  0.139497 -0.123050  ... -0.128758 -0.381932  0.151012   \n",
       "1524  0.269083  0.140631  0.023464  ... -0.179545 -0.192036 -0.261879   \n",
       "1525  0.325574 -0.067794 -0.270953  ...  0.661696  0.435477  1.375966   \n",
       "\n",
       "           V24       V25       V26       V27       V28  Amount  Class  \n",
       "0     0.066928  0.128539 -0.189115  0.133558 -0.021053  149.62      0  \n",
       "1    -0.339846  0.167170  0.125895 -0.008983  0.014724    2.69      1  \n",
       "2    -0.689281 -0.327642 -0.139097 -0.055353 -0.059752  378.66      0  \n",
       "3    -1.175575  0.647376 -0.221929  0.062723  0.061458  123.50      0  \n",
       "4     0.141267 -0.206010  0.502292  0.219422  0.215153   69.99      0  \n",
       "...        ...       ...       ...       ...       ...     ...    ...  \n",
       "1521 -0.857105 -0.219322  0.861019 -0.124622 -0.171060    1.50      1  \n",
       "1522 -1.363967 -1.389079  0.075412  0.231750  0.230171    0.99      1  \n",
       "1523 -1.363967 -1.389079  0.075412  0.231750  0.230171    0.99      1  \n",
       "1524 -0.237477 -0.335040  0.240323 -0.345129 -0.383563    1.00      1  \n",
       "1525 -0.293803  0.279798 -0.145362 -0.252773  0.035764  529.00      1  \n",
       "\n",
       "[1526 rows x 31 columns]"
      ]
     },
     "execution_count": 184,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Creating new Dataframe of x_ros and y_ros\n",
    "df_ros=x_ros\n",
    "df_ros['Class']=y_ros\n",
    "df_ros"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "03e9be2b",
   "metadata": {},
   "source": [
    "## Simple Random Sampling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "id": "d6ead89c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "384\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>V1</th>\n",
       "      <th>V2</th>\n",
       "      <th>V3</th>\n",
       "      <th>V4</th>\n",
       "      <th>V5</th>\n",
       "      <th>V6</th>\n",
       "      <th>V7</th>\n",
       "      <th>V8</th>\n",
       "      <th>V9</th>\n",
       "      <th>...</th>\n",
       "      <th>V21</th>\n",
       "      <th>V22</th>\n",
       "      <th>V23</th>\n",
       "      <th>V24</th>\n",
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       "      <th>V26</th>\n",
       "      <th>V27</th>\n",
       "      <th>V28</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1361</th>\n",
       "      <td>484</td>\n",
       "      <td>-0.928088</td>\n",
       "      <td>0.398194</td>\n",
       "      <td>1.741131</td>\n",
       "      <td>0.182673</td>\n",
       "      <td>0.966387</td>\n",
       "      <td>-0.901004</td>\n",
       "      <td>0.879016</td>\n",
       "      <td>-0.156590</td>\n",
       "      <td>-0.142117</td>\n",
       "      <td>...</td>\n",
       "      <td>0.066353</td>\n",
       "      <td>0.281378</td>\n",
       "      <td>-0.257966</td>\n",
       "      <td>0.385384</td>\n",
       "      <td>0.391117</td>\n",
       "      <td>-0.453853</td>\n",
       "      <td>-0.104448</td>\n",
       "      <td>-0.125765</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>511</th>\n",
       "      <td>377</td>\n",
       "      <td>1.166919</td>\n",
       "      <td>0.027049</td>\n",
       "      <td>0.513875</td>\n",
       "      <td>0.860965</td>\n",
       "      <td>-0.519452</td>\n",
       "      <td>-0.681147</td>\n",
       "      <td>0.074992</td>\n",
       "      <td>-0.187776</td>\n",
       "      <td>0.345399</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.202750</td>\n",
       "      <td>-0.441391</td>\n",
       "      <td>-0.025782</td>\n",
       "      <td>0.452607</td>\n",
       "      <td>0.467223</td>\n",
       "      <td>0.262577</td>\n",
       "      <td>-0.023834</td>\n",
       "      <td>0.020521</td>\n",
       "      <td>40.83</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>-0.338262</td>\n",
       "      <td>1.119593</td>\n",
       "      <td>1.044367</td>\n",
       "      <td>-0.222187</td>\n",
       "      <td>0.499361</td>\n",
       "      <td>-0.246761</td>\n",
       "      <td>0.651583</td>\n",
       "      <td>0.069539</td>\n",
       "      <td>-0.736727</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.246914</td>\n",
       "      <td>-0.633753</td>\n",
       "      <td>-0.120794</td>\n",
       "      <td>-0.385050</td>\n",
       "      <td>-0.069733</td>\n",
       "      <td>0.094199</td>\n",
       "      <td>0.246219</td>\n",
       "      <td>0.083076</td>\n",
       "      <td>3.68</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>284</td>\n",
       "      <td>-0.810756</td>\n",
       "      <td>0.654499</td>\n",
       "      <td>2.217257</td>\n",
       "      <td>0.104341</td>\n",
       "      <td>-0.286801</td>\n",
       "      <td>0.117833</td>\n",
       "      <td>0.287552</td>\n",
       "      <td>-0.736461</td>\n",
       "      <td>0.699092</td>\n",
       "      <td>...</td>\n",
       "      <td>0.938194</td>\n",
       "      <td>0.571651</td>\n",
       "      <td>-0.101609</td>\n",
       "      <td>0.363928</td>\n",
       "      <td>-0.170947</td>\n",
       "      <td>-0.471524</td>\n",
       "      <td>0.058958</td>\n",
       "      <td>-0.079157</td>\n",
       "      <td>30.30</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>471</th>\n",
       "      <td>346</td>\n",
       "      <td>1.077079</td>\n",
       "      <td>0.284980</td>\n",
       "      <td>0.007731</td>\n",
       "      <td>1.657073</td>\n",
       "      <td>0.052020</td>\n",
       "      <td>0.446389</td>\n",
       "      <td>-0.407036</td>\n",
       "      <td>0.355704</td>\n",
       "      <td>0.626039</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.174337</td>\n",
       "      <td>-0.174161</td>\n",
       "      <td>-0.153375</td>\n",
       "      <td>-0.466331</td>\n",
       "      <td>0.611001</td>\n",
       "      <td>-0.252871</td>\n",
       "      <td>0.090375</td>\n",
       "      <td>0.054820</td>\n",
       "      <td>10.99</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>829</th>\n",
       "      <td>118</td>\n",
       "      <td>1.254914</td>\n",
       "      <td>0.350287</td>\n",
       "      <td>0.302488</td>\n",
       "      <td>0.693114</td>\n",
       "      <td>-0.371470</td>\n",
       "      <td>-1.070256</td>\n",
       "      <td>0.086781</td>\n",
       "      <td>-0.202836</td>\n",
       "      <td>0.035154</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.287592</td>\n",
       "      <td>-0.832682</td>\n",
       "      <td>0.128083</td>\n",
       "      <td>0.339427</td>\n",
       "      <td>0.215944</td>\n",
       "      <td>0.094704</td>\n",
       "      <td>-0.023354</td>\n",
       "      <td>0.030892</td>\n",
       "      <td>2.69</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>530</th>\n",
       "      <td>394</td>\n",
       "      <td>1.293053</td>\n",
       "      <td>0.457969</td>\n",
       "      <td>-1.940450</td>\n",
       "      <td>0.173149</td>\n",
       "      <td>2.609570</td>\n",
       "      <td>3.014117</td>\n",
       "      <td>-0.269415</td>\n",
       "      <td>0.754420</td>\n",
       "      <td>-0.221009</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.121126</td>\n",
       "      <td>-0.427753</td>\n",
       "      <td>-0.159336</td>\n",
       "      <td>0.857135</td>\n",
       "      <td>0.850055</td>\n",
       "      <td>-0.311685</td>\n",
       "      <td>0.037536</td>\n",
       "      <td>0.050618</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1363</th>\n",
       "      <td>472</td>\n",
       "      <td>-3.043541</td>\n",
       "      <td>-3.157307</td>\n",
       "      <td>1.088463</td>\n",
       "      <td>2.288644</td>\n",
       "      <td>1.359805</td>\n",
       "      <td>-1.064823</td>\n",
       "      <td>0.325574</td>\n",
       "      <td>-0.067794</td>\n",
       "      <td>-0.270953</td>\n",
       "      <td>...</td>\n",
       "      <td>0.661696</td>\n",
       "      <td>0.435477</td>\n",
       "      <td>1.375966</td>\n",
       "      <td>-0.293803</td>\n",
       "      <td>0.279798</td>\n",
       "      <td>-0.145362</td>\n",
       "      <td>-0.252773</td>\n",
       "      <td>0.035764</td>\n",
       "      <td>529.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>795</th>\n",
       "      <td>0</td>\n",
       "      <td>1.191857</td>\n",
       "      <td>0.266151</td>\n",
       "      <td>0.166480</td>\n",
       "      <td>0.448154</td>\n",
       "      <td>0.060018</td>\n",
       "      <td>-0.082361</td>\n",
       "      <td>-0.078803</td>\n",
       "      <td>0.085102</td>\n",
       "      <td>-0.255425</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.225775</td>\n",
       "      <td>-0.638672</td>\n",
       "      <td>0.101288</td>\n",
       "      <td>-0.339846</td>\n",
       "      <td>0.167170</td>\n",
       "      <td>0.125895</td>\n",
       "      <td>-0.008983</td>\n",
       "      <td>0.014724</td>\n",
       "      <td>2.69</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1370</th>\n",
       "      <td>472</td>\n",
       "      <td>-3.043541</td>\n",
       "      <td>-3.157307</td>\n",
       "      <td>1.088463</td>\n",
       "      <td>2.288644</td>\n",
       "      <td>1.359805</td>\n",
       "      <td>-1.064823</td>\n",
       "      <td>0.325574</td>\n",
       "      <td>-0.067794</td>\n",
       "      <td>-0.270953</td>\n",
       "      <td>...</td>\n",
       "      <td>0.661696</td>\n",
       "      <td>0.435477</td>\n",
       "      <td>1.375966</td>\n",
       "      <td>-0.293803</td>\n",
       "      <td>0.279798</td>\n",
       "      <td>-0.145362</td>\n",
       "      <td>-0.252773</td>\n",
       "      <td>0.035764</td>\n",
       "      <td>529.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>384 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Time        V1        V2        V3        V4        V5        V6  \\\n",
       "1361   484 -0.928088  0.398194  1.741131  0.182673  0.966387 -0.901004   \n",
       "511    377  1.166919  0.027049  0.513875  0.860965 -0.519452 -0.681147   \n",
       "9        9 -0.338262  1.119593  1.044367 -0.222187  0.499361 -0.246761   \n",
       "393    284 -0.810756  0.654499  2.217257  0.104341 -0.286801  0.117833   \n",
       "471    346  1.077079  0.284980  0.007731  1.657073  0.052020  0.446389   \n",
       "...    ...       ...       ...       ...       ...       ...       ...   \n",
       "829    118  1.254914  0.350287  0.302488  0.693114 -0.371470 -1.070256   \n",
       "530    394  1.293053  0.457969 -1.940450  0.173149  2.609570  3.014117   \n",
       "1363   472 -3.043541 -3.157307  1.088463  2.288644  1.359805 -1.064823   \n",
       "795      0  1.191857  0.266151  0.166480  0.448154  0.060018 -0.082361   \n",
       "1370   472 -3.043541 -3.157307  1.088463  2.288644  1.359805 -1.064823   \n",
       "\n",
       "            V7        V8        V9  ...       V21       V22       V23  \\\n",
       "1361  0.879016 -0.156590 -0.142117  ...  0.066353  0.281378 -0.257966   \n",
       "511   0.074992 -0.187776  0.345399  ... -0.202750 -0.441391 -0.025782   \n",
       "9     0.651583  0.069539 -0.736727  ... -0.246914 -0.633753 -0.120794   \n",
       "393   0.287552 -0.736461  0.699092  ...  0.938194  0.571651 -0.101609   \n",
       "471  -0.407036  0.355704  0.626039  ... -0.174337 -0.174161 -0.153375   \n",
       "...        ...       ...       ...  ...       ...       ...       ...   \n",
       "829   0.086781 -0.202836  0.035154  ... -0.287592 -0.832682  0.128083   \n",
       "530  -0.269415  0.754420 -0.221009  ... -0.121126 -0.427753 -0.159336   \n",
       "1363  0.325574 -0.067794 -0.270953  ...  0.661696  0.435477  1.375966   \n",
       "795  -0.078803  0.085102 -0.255425  ... -0.225775 -0.638672  0.101288   \n",
       "1370  0.325574 -0.067794 -0.270953  ...  0.661696  0.435477  1.375966   \n",
       "\n",
       "           V24       V25       V26       V27       V28  Amount  Class  \n",
       "1361  0.385384  0.391117 -0.453853 -0.104448 -0.125765    1.00      1  \n",
       "511   0.452607  0.467223  0.262577 -0.023834  0.020521   40.83      0  \n",
       "9    -0.385050 -0.069733  0.094199  0.246219  0.083076    3.68      0  \n",
       "393   0.363928 -0.170947 -0.471524  0.058958 -0.079157   30.30      0  \n",
       "471  -0.466331  0.611001 -0.252871  0.090375  0.054820   10.99      0  \n",
       "...        ...       ...       ...       ...       ...     ...    ...  \n",
       "829   0.339427  0.215944  0.094704 -0.023354  0.030892    2.69      1  \n",
       "530   0.857135  0.850055 -0.311685  0.037536  0.050618    1.00      0  \n",
       "1363 -0.293803  0.279798 -0.145362 -0.252773  0.035764  529.00      1  \n",
       "795  -0.339846  0.167170  0.125895 -0.008983  0.014724    2.69      1  \n",
       "1370 -0.293803  0.279798 -0.145362 -0.252773  0.035764  529.00      1  \n",
       "\n",
       "[384 rows x 31 columns]"
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.random.seed(0)\n",
    "# Sample size in Random Sample: (Z^2*p*(1-p))/E^2\n",
    "# Z(Confidence Level): 1.96\n",
    "# p: estimated proportion of population assumed to be 0.5\n",
    "# E: estmated error\n",
    "\n",
    "sample_size=int((pow(1.96,2)*0.5*0.5)/(pow(0.05,2)))\n",
    "print(sample_size)\n",
    "random_sample = df_ros.sample(n=sample_size, random_state=0)\n",
    "random_sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "id": "aa11ff45",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_random=random_sample.iloc[:,:-1]\n",
    "Y_random=random_sample.iloc[:,-1]\n",
    "x_train,x_test,y_train,y_test=train_test_split(X_random,Y_random,train_size=0.7)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed487335",
   "metadata": {},
   "source": [
    "#### Applying Logistic Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "id": "87cb33a4",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py:814: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.896551724137931"
      ]
     },
     "execution_count": 187,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import accuracy_score\n",
    "lr=LogisticRegression()\n",
    "lr.fit(x_train,y_train)\n",
    "y_pred=lr.predict(x_test)\n",
    "ac1=accuracy_score(y_test,y_pred)\n",
    "ac1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f83f621",
   "metadata": {},
   "source": [
    "#### Applying Extra Gradient Boost Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "id": "03e704e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9827586206896551"
      ]
     },
     "execution_count": 188,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from xgboost import XGBClassifier\n",
    "xgb=XGBClassifier()\n",
    "xgb.fit(x_train,y_train)\n",
    "y_pred=xgb.predict(x_test)\n",
    "ac2=accuracy_score(y_test,y_pred)\n",
    "ac2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8f4e183",
   "metadata": {},
   "source": [
    "#### Applying Random Forest Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "id": "e37e4689",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9913793103448276"
      ]
     },
     "execution_count": 189,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "rfc=RandomForestClassifier()\n",
    "rfc.fit(x_train,y_train)\n",
    "y_pred=rfc.predict(x_test)\n",
    "ac3=accuracy_score(y_test,y_pred)\n",
    "ac3"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5902c563",
   "metadata": {},
   "source": [
    "#### Applying Support Vector Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "id": "7b715850",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.6896551724137931"
      ]
     },
     "execution_count": 190,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.svm import SVC\n",
    "svc=SVC()\n",
    "svc.fit(x_train,y_train)\n",
    "y_pred=svc.predict(x_test)\n",
    "ac4=accuracy_score(y_test,y_pred)\n",
    "ac4"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b1e366ce",
   "metadata": {},
   "source": [
    "#### Applying K-Nearest Neighbour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "id": "a2ff42f1",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\neighbors\\_classification.py:228: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n",
      "  mode, _ = stats.mode(_y[neigh_ind, k], axis=1)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.9482758620689655"
      ]
     },
     "execution_count": 191,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "knn=KNeighborsClassifier()     # by default it takes 5 neighbors\n",
    "knn.fit(x_train,y_train)\n",
    "y_pred=knn.predict(x_test)\n",
    "ac5=accuracy_score(y_test,y_pred)\n",
    "ac5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "id": "c143b772",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0.896552\n",
       "1    0.982759\n",
       "2    0.991379\n",
       "3    0.689655\n",
       "4    0.948276\n",
       "dtype: float64"
      ]
     },
     "execution_count": 194,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m1=pd.Series([ac1,ac2,ac3,ac4,ac5])\n",
    "m1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da049615",
   "metadata": {},
   "source": [
    "## Systematic Sampling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "id": "0b05c0b8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(40, 31)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>V1</th>\n",
       "      <th>V2</th>\n",
       "      <th>V3</th>\n",
       "      <th>V4</th>\n",
       "      <th>V5</th>\n",
       "      <th>V6</th>\n",
       "      <th>V7</th>\n",
       "      <th>V8</th>\n",
       "      <th>V9</th>\n",
       "      <th>...</th>\n",
       "      <th>V21</th>\n",
       "      <th>V22</th>\n",
       "      <th>V23</th>\n",
       "      <th>V24</th>\n",
       "      <th>V25</th>\n",
       "      <th>V26</th>\n",
       "      <th>V27</th>\n",
       "      <th>V28</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>-1.359807</td>\n",
       "      <td>-0.072781</td>\n",
       "      <td>2.536347</td>\n",
       "      <td>1.378155</td>\n",
       "      <td>-0.338321</td>\n",
       "      <td>0.462388</td>\n",
       "      <td>0.239599</td>\n",
       "      <td>0.098698</td>\n",
       "      <td>0.363787</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.018307</td>\n",
       "      <td>0.277838</td>\n",
       "      <td>-0.110474</td>\n",
       "      <td>0.066928</td>\n",
       "      <td>0.128539</td>\n",
       "      <td>-0.189115</td>\n",
       "      <td>0.133558</td>\n",
       "      <td>-0.021053</td>\n",
       "      <td>149.62</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>29</td>\n",
       "      <td>1.110880</td>\n",
       "      <td>0.168717</td>\n",
       "      <td>0.517144</td>\n",
       "      <td>1.325407</td>\n",
       "      <td>-0.191573</td>\n",
       "      <td>0.019504</td>\n",
       "      <td>-0.031849</td>\n",
       "      <td>0.117620</td>\n",
       "      <td>0.017665</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.037709</td>\n",
       "      <td>0.095701</td>\n",
       "      <td>-0.048198</td>\n",
       "      <td>0.232115</td>\n",
       "      <td>0.606201</td>\n",
       "      <td>-0.342097</td>\n",
       "      <td>0.036770</td>\n",
       "      <td>0.007480</td>\n",
       "      <td>6.54</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>50</td>\n",
       "      <td>-0.571521</td>\n",
       "      <td>1.071600</td>\n",
       "      <td>1.280110</td>\n",
       "      <td>0.542780</td>\n",
       "      <td>0.574439</td>\n",
       "      <td>-0.259359</td>\n",
       "      <td>1.061148</td>\n",
       "      <td>-0.410972</td>\n",
       "      <td>-0.179130</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003559</td>\n",
       "      <td>0.561240</td>\n",
       "      <td>-0.199287</td>\n",
       "      <td>0.001387</td>\n",
       "      <td>-0.179530</td>\n",
       "      <td>-0.374116</td>\n",
       "      <td>0.071641</td>\n",
       "      <td>-0.175510</td>\n",
       "      <td>9.79</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>76</td>\n",
       "      <td>-1.024576</td>\n",
       "      <td>0.522289</td>\n",
       "      <td>1.787699</td>\n",
       "      <td>0.202672</td>\n",
       "      <td>-1.140803</td>\n",
       "      <td>-0.137831</td>\n",
       "      <td>-0.336555</td>\n",
       "      <td>0.670704</td>\n",
       "      <td>0.071670</td>\n",
       "      <td>...</td>\n",
       "      <td>0.315868</td>\n",
       "      <td>0.847565</td>\n",
       "      <td>0.148877</td>\n",
       "      <td>0.549791</td>\n",
       "      <td>-0.585131</td>\n",
       "      <td>0.325841</td>\n",
       "      <td>-0.068871</td>\n",
       "      <td>0.059713</td>\n",
       "      <td>50.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>98</td>\n",
       "      <td>-0.646513</td>\n",
       "      <td>1.004199</td>\n",
       "      <td>1.616224</td>\n",
       "      <td>-0.099628</td>\n",
       "      <td>-0.122477</td>\n",
       "      <td>-0.671327</td>\n",
       "      <td>0.656183</td>\n",
       "      <td>0.009755</td>\n",
       "      <td>-0.635963</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.147934</td>\n",
       "      <td>-0.420046</td>\n",
       "      <td>0.061424</td>\n",
       "      <td>0.520997</td>\n",
       "      <td>-0.238845</td>\n",
       "      <td>0.030135</td>\n",
       "      <td>0.140481</td>\n",
       "      <td>0.101163</td>\n",
       "      <td>14.98</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Time        V1        V2        V3        V4        V5        V6  \\\n",
       "0       0 -1.359807 -0.072781  2.536347  1.378155 -0.338321  0.462388   \n",
       "39     29  1.110880  0.168717  0.517144  1.325407 -0.191573  0.019504   \n",
       "78     50 -0.571521  1.071600  1.280110  0.542780  0.574439 -0.259359   \n",
       "117    76 -1.024576  0.522289  1.787699  0.202672 -1.140803 -0.137831   \n",
       "156    98 -0.646513  1.004199  1.616224 -0.099628 -0.122477 -0.671327   \n",
       "\n",
       "           V7        V8        V9  ...       V21       V22       V23  \\\n",
       "0    0.239599  0.098698  0.363787  ... -0.018307  0.277838 -0.110474   \n",
       "39  -0.031849  0.117620  0.017665  ... -0.037709  0.095701 -0.048198   \n",
       "78   1.061148 -0.410972 -0.179130  ...  0.003559  0.561240 -0.199287   \n",
       "117 -0.336555  0.670704  0.071670  ...  0.315868  0.847565  0.148877   \n",
       "156  0.656183  0.009755 -0.635963  ... -0.147934 -0.420046  0.061424   \n",
       "\n",
       "          V24       V25       V26       V27       V28  Amount  Class  \n",
       "0    0.066928  0.128539 -0.189115  0.133558 -0.021053  149.62      0  \n",
       "39   0.232115  0.606201 -0.342097  0.036770  0.007480    6.54      0  \n",
       "78   0.001387 -0.179530 -0.374116  0.071641 -0.175510    9.79      0  \n",
       "117  0.549791 -0.585131  0.325841 -0.068871  0.059713   50.00      0  \n",
       "156  0.520997 -0.238845  0.030135  0.140481  0.101163   14.98      0  \n",
       "\n",
       "[5 rows x 31 columns]"
      ]
     },
     "execution_count": 221,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import math\n",
    "# Calculate the number of rows in the dataset\n",
    "n=len(df_ros)\n",
    "\n",
    "# Set the sampling interval \"k\" as the square root of the number of rows in the dataset\n",
    "k = int(math.sqrt(n))\n",
    "\n",
    "# Select every \"k\" row starting from a random index in the dataset\n",
    "sample = df_ros.iloc[::k]\n",
    "# Print the first few rows of the sample\n",
    "print(sample.shape)\n",
    "sample.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "id": "3f96fe2a",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_sys=sample.iloc[:,:-1]\n",
    "Y_sys=sample.iloc[:,-1]\n",
    "x_train,x_test,y_train,y_test=train_test_split(X_sys,Y_sys,train_size=0.7)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9825e62",
   "metadata": {},
   "source": [
    "#### Applying Logistic Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "id": "3b9bf442",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py:814: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.75"
      ]
     },
     "execution_count": 223,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import accuracy_score\n",
    "lr=LogisticRegression()\n",
    "lr.fit(x_train,y_train)\n",
    "y_pred=lr.predict(x_test)\n",
    "ac1=accuracy_score(y_test,y_pred)\n",
    "ac1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d021c22",
   "metadata": {},
   "source": [
    "#### Applying Extra Gradient Boost Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "id": "a84171ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9166666666666666"
      ]
     },
     "execution_count": 224,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from xgboost import XGBClassifier\n",
    "xgb=XGBClassifier()\n",
    "xgb.fit(x_train,y_train)\n",
    "y_pred=xgb.predict(x_test)\n",
    "ac2=accuracy_score(y_test,y_pred)\n",
    "ac2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6e37cef",
   "metadata": {},
   "source": [
    "#### Applying Random Forest Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "id": "e80b36ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 225,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "rfc=RandomForestClassifier()\n",
    "rfc.fit(x_train,y_train)\n",
    "y_pred=rfc.predict(x_test)\n",
    "ac3=accuracy_score(y_test,y_pred)\n",
    "ac3"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "826b1c54",
   "metadata": {},
   "source": [
    "#### Applying Support Vector Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "id": "91131d9d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5833333333333334"
      ]
     },
     "execution_count": 226,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.svm import SVC\n",
    "svc=SVC()\n",
    "svc.fit(x_train,y_train)\n",
    "y_pred=svc.predict(x_test)\n",
    "ac4=accuracy_score(y_test,y_pred)\n",
    "ac4"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "adda3d70",
   "metadata": {},
   "source": [
    "#### Applying K-Nearest Neighbour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "id": "67f123c7",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\neighbors\\_classification.py:228: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n",
      "  mode, _ = stats.mode(_y[neigh_ind, k], axis=1)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.5833333333333334"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "knn=KNeighborsClassifier()     # by default it takes 5 neighbors\n",
    "knn.fit(x_train,y_train)\n",
    "y_pred=knn.predict(x_test)\n",
    "ac5=accuracy_score(y_test,y_pred)\n",
    "ac5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "id": "6550e281",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0.750000\n",
       "1    0.916667\n",
       "2    1.000000\n",
       "3    0.583333\n",
       "4    0.583333\n",
       "dtype: float64"
      ]
     },
     "execution_count": 228,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m2=pd.Series([ac1,ac2,ac3,ac4,ac5])\n",
    "m2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "41b54094",
   "metadata": {},
   "source": [
    "## Clustering Sampling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "id": "d6170912",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sample Cluster: [0 1 1 0 0 1 0 0 0 1]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<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>Time</th>\n",
       "      <th>V1</th>\n",
       "      <th>V2</th>\n",
       "      <th>V3</th>\n",
       "      <th>V4</th>\n",
       "      <th>V5</th>\n",
       "      <th>V6</th>\n",
       "      <th>V7</th>\n",
       "      <th>V8</th>\n",
       "      <th>V9</th>\n",
       "      <th>...</th>\n",
       "      <th>V21</th>\n",
       "      <th>V22</th>\n",
       "      <th>V23</th>\n",
       "      <th>V24</th>\n",
       "      <th>V25</th>\n",
       "      <th>V26</th>\n",
       "      <th>V27</th>\n",
       "      <th>V28</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>107</td>\n",
       "      <td>1.175125</td>\n",
       "      <td>0.661341</td>\n",
       "      <td>-0.477476</td>\n",
       "      <td>1.102542</td>\n",
       "      <td>0.543328</td>\n",
       "      <td>-0.246785</td>\n",
       "      <td>0.165234</td>\n",
       "      <td>0.027018</td>\n",
       "      <td>-0.423144</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.003071</td>\n",
       "      <td>0.093738</td>\n",
       "      <td>-0.154355</td>\n",
       "      <td>-0.425097</td>\n",
       "      <td>0.652435</td>\n",
       "      <td>-0.296802</td>\n",
       "      <td>0.051425</td>\n",
       "      <td>0.041876</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>675</th>\n",
       "      <td>511</td>\n",
       "      <td>-0.259961</td>\n",
       "      <td>0.998646</td>\n",
       "      <td>1.437975</td>\n",
       "      <td>0.038031</td>\n",
       "      <td>0.125405</td>\n",
       "      <td>-0.957775</td>\n",
       "      <td>0.899758</td>\n",
       "      <td>-0.270159</td>\n",
       "      <td>-0.186834</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.316535</td>\n",
       "      <td>-0.697534</td>\n",
       "      <td>-0.035228</td>\n",
       "      <td>0.322387</td>\n",
       "      <td>-0.198797</td>\n",
       "      <td>0.044630</td>\n",
       "      <td>0.077318</td>\n",
       "      <td>-0.125135</td>\n",
       "      <td>8.93</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>511</th>\n",
       "      <td>377</td>\n",
       "      <td>1.166919</td>\n",
       "      <td>0.027049</td>\n",
       "      <td>0.513875</td>\n",
       "      <td>0.860965</td>\n",
       "      <td>-0.519452</td>\n",
       "      <td>-0.681147</td>\n",
       "      <td>0.074992</td>\n",
       "      <td>-0.187776</td>\n",
       "      <td>0.345399</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.202750</td>\n",
       "      <td>-0.441391</td>\n",
       "      <td>-0.025782</td>\n",
       "      <td>0.452607</td>\n",
       "      <td>0.467223</td>\n",
       "      <td>0.262577</td>\n",
       "      <td>-0.023834</td>\n",
       "      <td>0.020521</td>\n",
       "      <td>40.83</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>44</td>\n",
       "      <td>-0.714764</td>\n",
       "      <td>0.514969</td>\n",
       "      <td>1.821676</td>\n",
       "      <td>0.616434</td>\n",
       "      <td>0.848776</td>\n",
       "      <td>-0.111938</td>\n",
       "      <td>1.505617</td>\n",
       "      <td>-0.798167</td>\n",
       "      <td>0.244757</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.220075</td>\n",
       "      <td>-0.017845</td>\n",
       "      <td>-0.431938</td>\n",
       "      <td>-0.130458</td>\n",
       "      <td>0.337159</td>\n",
       "      <td>-0.440042</td>\n",
       "      <td>-0.674526</td>\n",
       "      <td>-0.473218</td>\n",
       "      <td>59.90</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>135</td>\n",
       "      <td>1.101762</td>\n",
       "      <td>-0.119018</td>\n",
       "      <td>1.139150</td>\n",
       "      <td>1.844961</td>\n",
       "      <td>-0.817909</td>\n",
       "      <td>0.247770</td>\n",
       "      <td>-0.684181</td>\n",
       "      <td>0.283096</td>\n",
       "      <td>0.286763</td>\n",
       "      <td>...</td>\n",
       "      <td>0.120201</td>\n",
       "      <td>0.371305</td>\n",
       "      <td>-0.016047</td>\n",
       "      <td>0.113901</td>\n",
       "      <td>0.152014</td>\n",
       "      <td>1.126049</td>\n",
       "      <td>-0.038695</td>\n",
       "      <td>0.012339</td>\n",
       "      <td>22.37</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>949</th>\n",
       "      <td>472</td>\n",
       "      <td>-3.043541</td>\n",
       "      <td>-3.157307</td>\n",
       "      <td>1.088463</td>\n",
       "      <td>2.288644</td>\n",
       "      <td>1.359805</td>\n",
       "      <td>-1.064823</td>\n",
       "      <td>0.325574</td>\n",
       "      <td>-0.067794</td>\n",
       "      <td>-0.270953</td>\n",
       "      <td>...</td>\n",
       "      <td>0.661696</td>\n",
       "      <td>0.435477</td>\n",
       "      <td>1.375966</td>\n",
       "      <td>-0.293803</td>\n",
       "      <td>0.279798</td>\n",
       "      <td>-0.145362</td>\n",
       "      <td>-0.252773</td>\n",
       "      <td>0.035764</td>\n",
       "      <td>529.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>775</th>\n",
       "      <td>472</td>\n",
       "      <td>-3.043541</td>\n",
       "      <td>-3.157307</td>\n",
       "      <td>1.088463</td>\n",
       "      <td>2.288644</td>\n",
       "      <td>1.359805</td>\n",
       "      <td>-1.064823</td>\n",
       "      <td>0.325574</td>\n",
       "      <td>-0.067794</td>\n",
       "      <td>-0.270953</td>\n",
       "      <td>...</td>\n",
       "      <td>0.661696</td>\n",
       "      <td>0.435477</td>\n",
       "      <td>1.375966</td>\n",
       "      <td>-0.293803</td>\n",
       "      <td>0.279798</td>\n",
       "      <td>-0.145362</td>\n",
       "      <td>-0.252773</td>\n",
       "      <td>0.035764</td>\n",
       "      <td>529.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>982</th>\n",
       "      <td>118</td>\n",
       "      <td>1.254914</td>\n",
       "      <td>0.350287</td>\n",
       "      <td>0.302488</td>\n",
       "      <td>0.693114</td>\n",
       "      <td>-0.371470</td>\n",
       "      <td>-1.070256</td>\n",
       "      <td>0.086781</td>\n",
       "      <td>-0.202836</td>\n",
       "      <td>0.035154</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.287592</td>\n",
       "      <td>-0.832682</td>\n",
       "      <td>0.128083</td>\n",
       "      <td>0.339427</td>\n",
       "      <td>0.215944</td>\n",
       "      <td>0.094704</td>\n",
       "      <td>-0.023354</td>\n",
       "      <td>0.030892</td>\n",
       "      <td>2.69</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1144</th>\n",
       "      <td>472</td>\n",
       "      <td>-3.043541</td>\n",
       "      <td>-3.157307</td>\n",
       "      <td>1.088463</td>\n",
       "      <td>2.288644</td>\n",
       "      <td>1.359805</td>\n",
       "      <td>-1.064823</td>\n",
       "      <td>0.325574</td>\n",
       "      <td>-0.067794</td>\n",
       "      <td>-0.270953</td>\n",
       "      <td>...</td>\n",
       "      <td>0.661696</td>\n",
       "      <td>0.435477</td>\n",
       "      <td>1.375966</td>\n",
       "      <td>-0.293803</td>\n",
       "      <td>0.279798</td>\n",
       "      <td>-0.145362</td>\n",
       "      <td>-0.252773</td>\n",
       "      <td>0.035764</td>\n",
       "      <td>529.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1194</th>\n",
       "      <td>539</td>\n",
       "      <td>-1.738582</td>\n",
       "      <td>0.052740</td>\n",
       "      <td>1.187057</td>\n",
       "      <td>-0.656652</td>\n",
       "      <td>0.920623</td>\n",
       "      <td>-0.291788</td>\n",
       "      <td>0.269083</td>\n",
       "      <td>0.140631</td>\n",
       "      <td>0.023464</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.179545</td>\n",
       "      <td>-0.192036</td>\n",
       "      <td>-0.261879</td>\n",
       "      <td>-0.237477</td>\n",
       "      <td>-0.335040</td>\n",
       "      <td>0.240323</td>\n",
       "      <td>-0.345129</td>\n",
       "      <td>-0.383563</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Time        V1        V2        V3        V4        V5        V6  \\\n",
       "168    107  1.175125  0.661341 -0.477476  1.102542  0.543328 -0.246785   \n",
       "675    511 -0.259961  0.998646  1.437975  0.038031  0.125405 -0.957775   \n",
       "511    377  1.166919  0.027049  0.513875  0.860965 -0.519452 -0.681147   \n",
       "66      44 -0.714764  0.514969  1.821676  0.616434  0.848776 -0.111938   \n",
       "202    135  1.101762 -0.119018  1.139150  1.844961 -0.817909  0.247770   \n",
       "...    ...       ...       ...       ...       ...       ...       ...   \n",
       "949    472 -3.043541 -3.157307  1.088463  2.288644  1.359805 -1.064823   \n",
       "775    472 -3.043541 -3.157307  1.088463  2.288644  1.359805 -1.064823   \n",
       "982    118  1.254914  0.350287  0.302488  0.693114 -0.371470 -1.070256   \n",
       "1144   472 -3.043541 -3.157307  1.088463  2.288644  1.359805 -1.064823   \n",
       "1194   539 -1.738582  0.052740  1.187057 -0.656652  0.920623 -0.291788   \n",
       "\n",
       "            V7        V8        V9  ...       V21       V22       V23  \\\n",
       "168   0.165234  0.027018 -0.423144  ... -0.003071  0.093738 -0.154355   \n",
       "675   0.899758 -0.270159 -0.186834  ... -0.316535 -0.697534 -0.035228   \n",
       "511   0.074992 -0.187776  0.345399  ... -0.202750 -0.441391 -0.025782   \n",
       "66    1.505617 -0.798167  0.244757  ... -0.220075 -0.017845 -0.431938   \n",
       "202  -0.684181  0.283096  0.286763  ...  0.120201  0.371305 -0.016047   \n",
       "...        ...       ...       ...  ...       ...       ...       ...   \n",
       "949   0.325574 -0.067794 -0.270953  ...  0.661696  0.435477  1.375966   \n",
       "775   0.325574 -0.067794 -0.270953  ...  0.661696  0.435477  1.375966   \n",
       "982   0.086781 -0.202836  0.035154  ... -0.287592 -0.832682  0.128083   \n",
       "1144  0.325574 -0.067794 -0.270953  ...  0.661696  0.435477  1.375966   \n",
       "1194  0.269083  0.140631  0.023464  ... -0.179545 -0.192036 -0.261879   \n",
       "\n",
       "           V24       V25       V26       V27       V28  Amount  Class  \n",
       "168  -0.425097  0.652435 -0.296802  0.051425  0.041876    1.00      0  \n",
       "675   0.322387 -0.198797  0.044630  0.077318 -0.125135    8.93      0  \n",
       "511   0.452607  0.467223  0.262577 -0.023834  0.020521   40.83      0  \n",
       "66   -0.130458  0.337159 -0.440042 -0.674526 -0.473218   59.90      0  \n",
       "202   0.113901  0.152014  1.126049 -0.038695  0.012339   22.37      0  \n",
       "...        ...       ...       ...       ...       ...     ...    ...  \n",
       "949  -0.293803  0.279798 -0.145362 -0.252773  0.035764  529.00      1  \n",
       "775  -0.293803  0.279798 -0.145362 -0.252773  0.035764  529.00      1  \n",
       "982   0.339427  0.215944  0.094704 -0.023354  0.030892    2.69      1  \n",
       "1144 -0.293803  0.279798 -0.145362 -0.252773  0.035764  529.00      1  \n",
       "1194 -0.237477 -0.335040  0.240323 -0.345129 -0.383563    1.00      1  \n",
       "\n",
       "[1000 rows x 31 columns]"
      ]
     },
     "execution_count": 229,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Set the name of the cluster variable to use as the basis for forming clusters\n",
    "cluster_var = 'Class'    # here I formed clusters on basis of class attribute in df_ros\n",
    "\n",
    "# Group the population into clusters \n",
    "clusters = df_ros.groupby(cluster_var)\n",
    "\n",
    "# Determine the number of clusters in the population\n",
    "num_clusters = len(clusters)\n",
    "\n",
    "# Set the desired size for the clusters\n",
    "cluster_size = 100\n",
    "# Set the sample size for final Sample\n",
    "sample_size=1000\n",
    "\n",
    "# Randomly select a sample of clusters\n",
    "\n",
    "# sample_clusters is a NumPy array containing the randomly selected clusters \n",
    "# from the given dataset.\n",
    "sample_clusters = np.random.choice(list(clusters.groups.keys()), size=int(sample_size/cluster_size), replace=True)\n",
    "print(f'Sample Cluster: {sample_clusters}')\n",
    "\n",
    "#Sample Size: cluster_size*len(sample_clusters)\n",
    "\n",
    "# Collect data from each cluster in the sample\n",
    "sample_data = pd.DataFrame()\n",
    "for cluster in sample_clusters:\n",
    "    cluster_data = df_ros[df_ros[cluster_var] == cluster]\n",
    "    cluster_sample = cluster_data.sample(n=cluster_size, replace=True)\n",
    "    sample_data = pd.concat([sample_data, cluster_sample])\n",
    "\n",
    "# Display the sampled data\n",
    "sample_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "id": "c142865a",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_cluster=sample_data.iloc[:,:-1]\n",
    "Y_cluster=sample_data.iloc[:,-1]\n",
    "x_train,x_test,y_train,y_test=train_test_split(X_cluster,Y_cluster,train_size=0.7)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b271d15d",
   "metadata": {},
   "source": [
    "#### Applying Logistic Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "id": "fe623b75",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py:814: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.9333333333333333"
      ]
     },
     "execution_count": 231,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import accuracy_score\n",
    "lr=LogisticRegression()\n",
    "lr.fit(x_train,y_train)\n",
    "y_pred=lr.predict(x_test)\n",
    "ac1=accuracy_score(y_test,y_pred)\n",
    "ac1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4dda4223",
   "metadata": {},
   "source": [
    "#### Applying Extra Gradient Boost Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "id": "aafdadd2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9866666666666667"
      ]
     },
     "execution_count": 232,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from xgboost import XGBClassifier\n",
    "xgb=XGBClassifier()\n",
    "xgb.fit(x_train,y_train)\n",
    "y_pred=xgb.predict(x_test)\n",
    "ac2=accuracy_score(y_test,y_pred)\n",
    "ac2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d434301b",
   "metadata": {},
   "source": [
    "#### Applying Random Forest Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "id": "8793a681",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 233,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "rfc=RandomForestClassifier()\n",
    "rfc.fit(x_train,y_train)\n",
    "y_pred=rfc.predict(x_test)\n",
    "ac3=accuracy_score(y_test,y_pred)\n",
    "ac3"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83773d88",
   "metadata": {},
   "source": [
    "#### Applying Support Vector Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "id": "75bcc43e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7566666666666667"
      ]
     },
     "execution_count": 235,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.svm import SVC\n",
    "svc=SVC()\n",
    "svc.fit(x_train,y_train)\n",
    "y_pred=svc.predict(x_test)\n",
    "ac4=accuracy_score(y_test,y_pred)\n",
    "ac4"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "985f1318",
   "metadata": {},
   "source": [
    "#### Applying K-Nearest Neighbour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "id": "35df1a91",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\neighbors\\_classification.py:228: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n",
      "  mode, _ = stats.mode(_y[neigh_ind, k], axis=1)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.9666666666666667"
      ]
     },
     "execution_count": 236,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "knn=KNeighborsClassifier()     # by default it takes 5 neighbors\n",
    "knn.fit(x_train,y_train)\n",
    "y_pred=knn.predict(x_test)\n",
    "ac5=accuracy_score(y_test,y_pred)\n",
    "ac5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "id": "bba2b9c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0.933333\n",
       "1    0.986667\n",
       "2    1.000000\n",
       "3    0.756667\n",
       "4    0.966667\n",
       "dtype: float64"
      ]
     },
     "execution_count": 237,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m3=pd.Series([ac1,ac2,ac3,ac4,ac5])\n",
    "m3"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32cc8b37",
   "metadata": {},
   "source": [
    "## Stratified Sampling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "id": "e6f39d40",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1536\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>Time</th>\n",
       "      <th>V1</th>\n",
       "      <th>V2</th>\n",
       "      <th>V3</th>\n",
       "      <th>V4</th>\n",
       "      <th>V5</th>\n",
       "      <th>V6</th>\n",
       "      <th>V7</th>\n",
       "      <th>V8</th>\n",
       "      <th>V9</th>\n",
       "      <th>...</th>\n",
       "      <th>V21</th>\n",
       "      <th>V22</th>\n",
       "      <th>V23</th>\n",
       "      <th>V24</th>\n",
       "      <th>V25</th>\n",
       "      <th>V26</th>\n",
       "      <th>V27</th>\n",
       "      <th>V28</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>690</th>\n",
       "      <td>522</td>\n",
       "      <td>-0.608941</td>\n",
       "      <td>0.961271</td>\n",
       "      <td>0.978330</td>\n",
       "      <td>-0.375420</td>\n",
       "      <td>0.955270</td>\n",
       "      <td>-0.111386</td>\n",
       "      <td>1.145462</td>\n",
       "      <td>-0.070023</td>\n",
       "      <td>-0.523790</td>\n",
       "      <td>...</td>\n",
       "      <td>0.034309</td>\n",
       "      <td>-0.010383</td>\n",
       "      <td>-0.425615</td>\n",
       "      <td>-1.022448</td>\n",
       "      <td>0.613098</td>\n",
       "      <td>-0.401181</td>\n",
       "      <td>0.051356</td>\n",
       "      <td>0.083632</td>\n",
       "      <td>39.05</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>563</th>\n",
       "      <td>421</td>\n",
       "      <td>1.121785</td>\n",
       "      <td>0.206367</td>\n",
       "      <td>0.529086</td>\n",
       "      <td>1.318229</td>\n",
       "      <td>-0.161515</td>\n",
       "      <td>0.024067</td>\n",
       "      <td>-0.020503</td>\n",
       "      <td>0.103401</td>\n",
       "      <td>-0.023411</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.037897</td>\n",
       "      <td>0.121195</td>\n",
       "      <td>-0.046623</td>\n",
       "      <td>0.239376</td>\n",
       "      <td>0.617560</td>\n",
       "      <td>-0.342429</td>\n",
       "      <td>0.039618</td>\n",
       "      <td>0.007107</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>634</th>\n",
       "      <td>481</td>\n",
       "      <td>1.215468</td>\n",
       "      <td>-0.071342</td>\n",
       "      <td>1.048697</td>\n",
       "      <td>0.724719</td>\n",
       "      <td>-0.694532</td>\n",
       "      <td>0.041879</td>\n",
       "      <td>-0.528919</td>\n",
       "      <td>0.019939</td>\n",
       "      <td>0.735112</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.107924</td>\n",
       "      <td>-0.044997</td>\n",
       "      <td>-0.055459</td>\n",
       "      <td>-0.062254</td>\n",
       "      <td>0.377130</td>\n",
       "      <td>0.344304</td>\n",
       "      <td>0.025717</td>\n",
       "      <td>0.025628</td>\n",
       "      <td>11.50</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>128</td>\n",
       "      <td>-0.549716</td>\n",
       "      <td>0.907665</td>\n",
       "      <td>1.597949</td>\n",
       "      <td>1.298978</td>\n",
       "      <td>0.587993</td>\n",
       "      <td>0.032376</td>\n",
       "      <td>0.754252</td>\n",
       "      <td>-0.306614</td>\n",
       "      <td>-0.269297</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.011485</td>\n",
       "      <td>0.417706</td>\n",
       "      <td>-0.265218</td>\n",
       "      <td>0.129561</td>\n",
       "      <td>-0.228241</td>\n",
       "      <td>-0.304780</td>\n",
       "      <td>-0.190978</td>\n",
       "      <td>-0.087081</td>\n",
       "      <td>10.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>714</th>\n",
       "      <td>538</td>\n",
       "      <td>-0.636011</td>\n",
       "      <td>-0.303838</td>\n",
       "      <td>1.215343</td>\n",
       "      <td>0.308924</td>\n",
       "      <td>0.561377</td>\n",
       "      <td>0.296560</td>\n",
       "      <td>0.862485</td>\n",
       "      <td>-0.406401</td>\n",
       "      <td>-0.084263</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.155456</td>\n",
       "      <td>0.143292</td>\n",
       "      <td>-0.013619</td>\n",
       "      <td>-0.214473</td>\n",
       "      <td>-1.093307</td>\n",
       "      <td>0.396991</td>\n",
       "      <td>-0.109662</td>\n",
       "      <td>-0.345634</td>\n",
       "      <td>158.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1025</th>\n",
       "      <td>0</td>\n",
       "      <td>1.191857</td>\n",
       "      <td>0.266151</td>\n",
       "      <td>0.166480</td>\n",
       "      <td>0.448154</td>\n",
       "      <td>0.060018</td>\n",
       "      <td>-0.082361</td>\n",
       "      <td>-0.078803</td>\n",
       "      <td>0.085102</td>\n",
       "      <td>-0.255425</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.225775</td>\n",
       "      <td>-0.638672</td>\n",
       "      <td>0.101288</td>\n",
       "      <td>-0.339846</td>\n",
       "      <td>0.167170</td>\n",
       "      <td>0.125895</td>\n",
       "      <td>-0.008983</td>\n",
       "      <td>0.014724</td>\n",
       "      <td>2.69</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1377</th>\n",
       "      <td>539</td>\n",
       "      <td>-1.738582</td>\n",
       "      <td>0.052740</td>\n",
       "      <td>1.187057</td>\n",
       "      <td>-0.656652</td>\n",
       "      <td>0.920623</td>\n",
       "      <td>-0.291788</td>\n",
       "      <td>0.269083</td>\n",
       "      <td>0.140631</td>\n",
       "      <td>0.023464</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.179545</td>\n",
       "      <td>-0.192036</td>\n",
       "      <td>-0.261879</td>\n",
       "      <td>-0.237477</td>\n",
       "      <td>-0.335040</td>\n",
       "      <td>0.240323</td>\n",
       "      <td>-0.345129</td>\n",
       "      <td>-0.383563</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1094</th>\n",
       "      <td>484</td>\n",
       "      <td>-0.928088</td>\n",
       "      <td>0.398194</td>\n",
       "      <td>1.741131</td>\n",
       "      <td>0.182673</td>\n",
       "      <td>0.966387</td>\n",
       "      <td>-0.901004</td>\n",
       "      <td>0.879016</td>\n",
       "      <td>-0.156590</td>\n",
       "      <td>-0.142117</td>\n",
       "      <td>...</td>\n",
       "      <td>0.066353</td>\n",
       "      <td>0.281378</td>\n",
       "      <td>-0.257966</td>\n",
       "      <td>0.385384</td>\n",
       "      <td>0.391117</td>\n",
       "      <td>-0.453853</td>\n",
       "      <td>-0.104448</td>\n",
       "      <td>-0.125765</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1133</th>\n",
       "      <td>472</td>\n",
       "      <td>-3.043541</td>\n",
       "      <td>-3.157307</td>\n",
       "      <td>1.088463</td>\n",
       "      <td>2.288644</td>\n",
       "      <td>1.359805</td>\n",
       "      <td>-1.064823</td>\n",
       "      <td>0.325574</td>\n",
       "      <td>-0.067794</td>\n",
       "      <td>-0.270953</td>\n",
       "      <td>...</td>\n",
       "      <td>0.661696</td>\n",
       "      <td>0.435477</td>\n",
       "      <td>1.375966</td>\n",
       "      <td>-0.293803</td>\n",
       "      <td>0.279798</td>\n",
       "      <td>-0.145362</td>\n",
       "      <td>-0.252773</td>\n",
       "      <td>0.035764</td>\n",
       "      <td>529.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1104</th>\n",
       "      <td>0</td>\n",
       "      <td>1.191857</td>\n",
       "      <td>0.266151</td>\n",
       "      <td>0.166480</td>\n",
       "      <td>0.448154</td>\n",
       "      <td>0.060018</td>\n",
       "      <td>-0.082361</td>\n",
       "      <td>-0.078803</td>\n",
       "      <td>0.085102</td>\n",
       "      <td>-0.255425</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.225775</td>\n",
       "      <td>-0.638672</td>\n",
       "      <td>0.101288</td>\n",
       "      <td>-0.339846</td>\n",
       "      <td>0.167170</td>\n",
       "      <td>0.125895</td>\n",
       "      <td>-0.008983</td>\n",
       "      <td>0.014724</td>\n",
       "      <td>2.69</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1536 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Time        V1        V2        V3        V4        V5        V6  \\\n",
       "690    522 -0.608941  0.961271  0.978330 -0.375420  0.955270 -0.111386   \n",
       "563    421  1.121785  0.206367  0.529086  1.318229 -0.161515  0.024067   \n",
       "634    481  1.215468 -0.071342  1.048697  0.724719 -0.694532  0.041879   \n",
       "194    128 -0.549716  0.907665  1.597949  1.298978  0.587993  0.032376   \n",
       "714    538 -0.636011 -0.303838  1.215343  0.308924  0.561377  0.296560   \n",
       "...    ...       ...       ...       ...       ...       ...       ...   \n",
       "1025     0  1.191857  0.266151  0.166480  0.448154  0.060018 -0.082361   \n",
       "1377   539 -1.738582  0.052740  1.187057 -0.656652  0.920623 -0.291788   \n",
       "1094   484 -0.928088  0.398194  1.741131  0.182673  0.966387 -0.901004   \n",
       "1133   472 -3.043541 -3.157307  1.088463  2.288644  1.359805 -1.064823   \n",
       "1104     0  1.191857  0.266151  0.166480  0.448154  0.060018 -0.082361   \n",
       "\n",
       "            V7        V8        V9  ...       V21       V22       V23  \\\n",
       "690   1.145462 -0.070023 -0.523790  ...  0.034309 -0.010383 -0.425615   \n",
       "563  -0.020503  0.103401 -0.023411  ... -0.037897  0.121195 -0.046623   \n",
       "634  -0.528919  0.019939  0.735112  ... -0.107924 -0.044997 -0.055459   \n",
       "194   0.754252 -0.306614 -0.269297  ... -0.011485  0.417706 -0.265218   \n",
       "714   0.862485 -0.406401 -0.084263  ... -0.155456  0.143292 -0.013619   \n",
       "...        ...       ...       ...  ...       ...       ...       ...   \n",
       "1025 -0.078803  0.085102 -0.255425  ... -0.225775 -0.638672  0.101288   \n",
       "1377  0.269083  0.140631  0.023464  ... -0.179545 -0.192036 -0.261879   \n",
       "1094  0.879016 -0.156590 -0.142117  ...  0.066353  0.281378 -0.257966   \n",
       "1133  0.325574 -0.067794 -0.270953  ...  0.661696  0.435477  1.375966   \n",
       "1104 -0.078803  0.085102 -0.255425  ... -0.225775 -0.638672  0.101288   \n",
       "\n",
       "           V24       V25       V26       V27       V28  Amount  Class  \n",
       "690  -1.022448  0.613098 -0.401181  0.051356  0.083632   39.05      0  \n",
       "563   0.239376  0.617560 -0.342429  0.039618  0.007107    1.00      0  \n",
       "634  -0.062254  0.377130  0.344304  0.025717  0.025628   11.50      0  \n",
       "194   0.129561 -0.228241 -0.304780 -0.190978 -0.087081   10.00      0  \n",
       "714  -0.214473 -1.093307  0.396991 -0.109662 -0.345634  158.00      0  \n",
       "...        ...       ...       ...       ...       ...     ...    ...  \n",
       "1025 -0.339846  0.167170  0.125895 -0.008983  0.014724    2.69      1  \n",
       "1377 -0.237477 -0.335040  0.240323 -0.345129 -0.383563    1.00      1  \n",
       "1094  0.385384  0.391117 -0.453853 -0.104448 -0.125765    1.00      1  \n",
       "1133 -0.293803  0.279798 -0.145362 -0.252773  0.035764  529.00      1  \n",
       "1104 -0.339846  0.167170  0.125895 -0.008983  0.014724    2.69      1  \n",
       "\n",
       "[1536 rows x 31 columns]"
      ]
     },
     "execution_count": 238,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "class_0=df_ros[df_ros['Class']==0]\n",
    "class_1=df_ros[df_ros['Class']==1]\n",
    "# Sample size in Random Sample: (Z^2*p*(1-p))/(E/S)^2\n",
    "# Z(Confidence Level): 1.96\n",
    "# p: estimated proportion of population assumed to be 0.5\n",
    "# E: estmated error\n",
    "# S: no. of Strata\n",
    "\n",
    "sample_size=int((pow(1.96,2)*0.5*0.5)/(pow(0.05/2,2)))\n",
    "print(sample_size)\n",
    "strata_1=class_0.sample(n=int(sample_size/2),random_state=0,replace=True)\n",
    "strata_2=class_1.sample(n=int(sample_size/2),random_state=0,replace=True)\n",
    "strata_sample=pd.concat([strata_1,strata_2],axis=0)\n",
    "strata_sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 239,
   "id": "054102e8",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_strata=strata_sample.iloc[:,:-1]\n",
    "Y_strata=strata_sample.iloc[:,-1]\n",
    "x_train,x_test,y_train,y_test=train_test_split(X_strata,Y_strata,train_size=0.7)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4415273",
   "metadata": {},
   "source": [
    "#### Applying Logistic Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "id": "9f5d8952",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py:814: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.9197396963123644"
      ]
     },
     "execution_count": 240,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import accuracy_score\n",
    "lr=LogisticRegression()\n",
    "lr.fit(x_train,y_train)\n",
    "y_pred=lr.predict(x_test)\n",
    "ac1=accuracy_score(y_test,y_pred)\n",
    "ac1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b3aa504",
   "metadata": {},
   "source": [
    "#### Applying Extra Gradient Boost Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "id": "0a7ff6b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9956616052060737"
      ]
     },
     "execution_count": 241,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from xgboost import XGBClassifier\n",
    "xgb=XGBClassifier()\n",
    "xgb.fit(x_train,y_train)\n",
    "y_pred=xgb.predict(x_test)\n",
    "ac2=accuracy_score(y_test,y_pred)\n",
    "ac2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ef50569e",
   "metadata": {},
   "source": [
    "#### Applying Random Forest Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 242,
   "id": "b5da05fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 242,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "rfc=RandomForestClassifier()\n",
    "rfc.fit(x_train,y_train)\n",
    "y_pred=rfc.predict(x_test)\n",
    "ac3=accuracy_score(y_test,y_pred)\n",
    "ac3"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aadeb4a7",
   "metadata": {},
   "source": [
    "#### Applying Support Vector Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "id": "7242d81b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7722342733188721"
      ]
     },
     "execution_count": 243,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.svm import SVC\n",
    "svc=SVC()\n",
    "svc.fit(x_train,y_train)\n",
    "y_pred=svc.predict(x_test)\n",
    "ac4=accuracy_score(y_test,y_pred)\n",
    "ac4"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5514db38",
   "metadata": {},
   "source": [
    "#### Applying K-Nearest Neighbour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "id": "cb8345cf",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\neighbors\\_classification.py:228: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n",
      "  mode, _ = stats.mode(_y[neigh_ind, k], axis=1)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.9869848156182213"
      ]
     },
     "execution_count": 244,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "knn=KNeighborsClassifier()     # by default it takes 5 neighbors\n",
    "knn.fit(x_train,y_train)\n",
    "y_pred=knn.predict(x_test)\n",
    "ac5=accuracy_score(y_test,y_pred)\n",
    "ac5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "id": "92b3345b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0.919740\n",
       "1    0.995662\n",
       "2    1.000000\n",
       "3    0.772234\n",
       "4    0.986985\n",
       "dtype: float64"
      ]
     },
     "execution_count": 245,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m4=pd.Series([ac1,ac2,ac3,ac4,ac5])\n",
    "m4"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "984ccbb5",
   "metadata": {},
   "source": [
    "## Weighted Sampling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 246,
   "id": "877a0013",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>V1</th>\n",
       "      <th>V2</th>\n",
       "      <th>V3</th>\n",
       "      <th>V4</th>\n",
       "      <th>V5</th>\n",
       "      <th>V6</th>\n",
       "      <th>V7</th>\n",
       "      <th>V8</th>\n",
       "      <th>V9</th>\n",
       "      <th>...</th>\n",
       "      <th>V21</th>\n",
       "      <th>V22</th>\n",
       "      <th>V23</th>\n",
       "      <th>V24</th>\n",
       "      <th>V25</th>\n",
       "      <th>V26</th>\n",
       "      <th>V27</th>\n",
       "      <th>V28</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1364</th>\n",
       "      <td>529</td>\n",
       "      <td>-2.000567</td>\n",
       "      <td>-2.495484</td>\n",
       "      <td>2.467149</td>\n",
       "      <td>1.140053</td>\n",
       "      <td>2.462010</td>\n",
       "      <td>0.594262</td>\n",
       "      <td>-2.110183</td>\n",
       "      <td>0.788347</td>\n",
       "      <td>0.958809</td>\n",
       "      <td>...</td>\n",
       "      <td>0.422452</td>\n",
       "      <td>1.195394</td>\n",
       "      <td>0.297836</td>\n",
       "      <td>-0.857105</td>\n",
       "      <td>-0.219322</td>\n",
       "      <td>0.861019</td>\n",
       "      <td>-0.124622</td>\n",
       "      <td>-0.171060</td>\n",
       "      <td>1.50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>610</th>\n",
       "      <td>460</td>\n",
       "      <td>-2.400261</td>\n",
       "      <td>-1.383754</td>\n",
       "      <td>1.610151</td>\n",
       "      <td>-2.452649</td>\n",
       "      <td>-0.592392</td>\n",
       "      <td>-0.041593</td>\n",
       "      <td>-0.554247</td>\n",
       "      <td>0.090479</td>\n",
       "      <td>-1.852860</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.223480</td>\n",
       "      <td>0.484416</td>\n",
       "      <td>0.318866</td>\n",
       "      <td>-0.326228</td>\n",
       "      <td>0.587978</td>\n",
       "      <td>-0.126954</td>\n",
       "      <td>0.123830</td>\n",
       "      <td>0.485189</td>\n",
       "      <td>79.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>852</th>\n",
       "      <td>164</td>\n",
       "      <td>0.073497</td>\n",
       "      <td>0.551033</td>\n",
       "      <td>0.451890</td>\n",
       "      <td>0.114964</td>\n",
       "      <td>0.822947</td>\n",
       "      <td>0.251480</td>\n",
       "      <td>0.296319</td>\n",
       "      <td>0.139497</td>\n",
       "      <td>-0.123050</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.128758</td>\n",
       "      <td>-0.381932</td>\n",
       "      <td>0.151012</td>\n",
       "      <td>-1.363967</td>\n",
       "      <td>-1.389079</td>\n",
       "      <td>0.075412</td>\n",
       "      <td>0.231750</td>\n",
       "      <td>0.230171</td>\n",
       "      <td>0.99</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1234</th>\n",
       "      <td>472</td>\n",
       "      <td>-3.043541</td>\n",
       "      <td>-3.157307</td>\n",
       "      <td>1.088463</td>\n",
       "      <td>2.288644</td>\n",
       "      <td>1.359805</td>\n",
       "      <td>-1.064823</td>\n",
       "      <td>0.325574</td>\n",
       "      <td>-0.067794</td>\n",
       "      <td>-0.270953</td>\n",
       "      <td>...</td>\n",
       "      <td>0.661696</td>\n",
       "      <td>0.435477</td>\n",
       "      <td>1.375966</td>\n",
       "      <td>-0.293803</td>\n",
       "      <td>0.279798</td>\n",
       "      <td>-0.145362</td>\n",
       "      <td>-0.252773</td>\n",
       "      <td>0.035764</td>\n",
       "      <td>529.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>352</td>\n",
       "      <td>-1.046362</td>\n",
       "      <td>0.720386</td>\n",
       "      <td>1.603413</td>\n",
       "      <td>0.608371</td>\n",
       "      <td>0.460941</td>\n",
       "      <td>-1.423406</td>\n",
       "      <td>0.266079</td>\n",
       "      <td>-0.141048</td>\n",
       "      <td>-0.516793</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.231027</td>\n",
       "      <td>-0.529575</td>\n",
       "      <td>-0.106293</td>\n",
       "      <td>0.704604</td>\n",
       "      <td>-0.349903</td>\n",
       "      <td>0.146041</td>\n",
       "      <td>0.289965</td>\n",
       "      <td>0.159572</td>\n",
       "      <td>2.67</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>259</td>\n",
       "      <td>-1.569485</td>\n",
       "      <td>-1.932133</td>\n",
       "      <td>1.249203</td>\n",
       "      <td>-4.434211</td>\n",
       "      <td>1.244282</td>\n",
       "      <td>0.402688</td>\n",
       "      <td>-0.649554</td>\n",
       "      <td>0.534756</td>\n",
       "      <td>0.886183</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.074659</td>\n",
       "      <td>0.397405</td>\n",
       "      <td>0.199030</td>\n",
       "      <td>-1.386013</td>\n",
       "      <td>-0.141955</td>\n",
       "      <td>-0.984011</td>\n",
       "      <td>0.274079</td>\n",
       "      <td>-0.019784</td>\n",
       "      <td>55.45</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>741</th>\n",
       "      <td>557</td>\n",
       "      <td>1.173585</td>\n",
       "      <td>0.250650</td>\n",
       "      <td>0.839631</td>\n",
       "      <td>1.066309</td>\n",
       "      <td>-0.365090</td>\n",
       "      <td>-0.161887</td>\n",
       "      <td>-0.230310</td>\n",
       "      <td>-0.012302</td>\n",
       "      <td>0.123302</td>\n",
       "      <td>...</td>\n",
       "      <td>0.171834</td>\n",
       "      <td>0.659725</td>\n",
       "      <td>-0.064483</td>\n",
       "      <td>0.125329</td>\n",
       "      <td>0.506081</td>\n",
       "      <td>-0.270854</td>\n",
       "      <td>0.069604</td>\n",
       "      <td>0.030001</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1056</th>\n",
       "      <td>406</td>\n",
       "      <td>-2.312227</td>\n",
       "      <td>1.951992</td>\n",
       "      <td>-1.609851</td>\n",
       "      <td>3.997906</td>\n",
       "      <td>-0.522188</td>\n",
       "      <td>-1.426545</td>\n",
       "      <td>-2.537387</td>\n",
       "      <td>1.391657</td>\n",
       "      <td>-2.770089</td>\n",
       "      <td>...</td>\n",
       "      <td>0.517232</td>\n",
       "      <td>-0.035049</td>\n",
       "      <td>-0.465211</td>\n",
       "      <td>0.320198</td>\n",
       "      <td>0.044519</td>\n",
       "      <td>0.177840</td>\n",
       "      <td>0.261145</td>\n",
       "      <td>-0.143276</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>235</td>\n",
       "      <td>-0.663511</td>\n",
       "      <td>-0.044443</td>\n",
       "      <td>1.029253</td>\n",
       "      <td>-2.498072</td>\n",
       "      <td>-1.350085</td>\n",
       "      <td>-0.798774</td>\n",
       "      <td>-0.581071</td>\n",
       "      <td>0.480997</td>\n",
       "      <td>-2.517037</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.051895</td>\n",
       "      <td>0.070846</td>\n",
       "      <td>0.039321</td>\n",
       "      <td>0.275750</td>\n",
       "      <td>-0.330251</td>\n",
       "      <td>-0.423936</td>\n",
       "      <td>0.251989</td>\n",
       "      <td>0.133957</td>\n",
       "      <td>25.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1150</th>\n",
       "      <td>406</td>\n",
       "      <td>-2.312227</td>\n",
       "      <td>1.951992</td>\n",
       "      <td>-1.609851</td>\n",
       "      <td>3.997906</td>\n",
       "      <td>-0.522188</td>\n",
       "      <td>-1.426545</td>\n",
       "      <td>-2.537387</td>\n",
       "      <td>1.391657</td>\n",
       "      <td>-2.770089</td>\n",
       "      <td>...</td>\n",
       "      <td>0.517232</td>\n",
       "      <td>-0.035049</td>\n",
       "      <td>-0.465211</td>\n",
       "      <td>0.320198</td>\n",
       "      <td>0.044519</td>\n",
       "      <td>0.177840</td>\n",
       "      <td>0.261145</td>\n",
       "      <td>-0.143276</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Time        V1        V2        V3        V4        V5        V6  \\\n",
       "1364   529 -2.000567 -2.495484  2.467149  1.140053  2.462010  0.594262   \n",
       "610    460 -2.400261 -1.383754  1.610151 -2.452649 -0.592392 -0.041593   \n",
       "852    164  0.073497  0.551033  0.451890  0.114964  0.822947  0.251480   \n",
       "1234   472 -3.043541 -3.157307  1.088463  2.288644  1.359805 -1.064823   \n",
       "476    352 -1.046362  0.720386  1.603413  0.608371  0.460941 -1.423406   \n",
       "...    ...       ...       ...       ...       ...       ...       ...   \n",
       "351    259 -1.569485 -1.932133  1.249203 -4.434211  1.244282  0.402688   \n",
       "741    557  1.173585  0.250650  0.839631  1.066309 -0.365090 -0.161887   \n",
       "1056   406 -2.312227  1.951992 -1.609851  3.997906 -0.522188 -1.426545   \n",
       "321    235 -0.663511 -0.044443  1.029253 -2.498072 -1.350085 -0.798774   \n",
       "1150   406 -2.312227  1.951992 -1.609851  3.997906 -0.522188 -1.426545   \n",
       "\n",
       "            V7        V8        V9  ...       V21       V22       V23  \\\n",
       "1364 -2.110183  0.788347  0.958809  ...  0.422452  1.195394  0.297836   \n",
       "610  -0.554247  0.090479 -1.852860  ... -0.223480  0.484416  0.318866   \n",
       "852   0.296319  0.139497 -0.123050  ... -0.128758 -0.381932  0.151012   \n",
       "1234  0.325574 -0.067794 -0.270953  ...  0.661696  0.435477  1.375966   \n",
       "476   0.266079 -0.141048 -0.516793  ... -0.231027 -0.529575 -0.106293   \n",
       "...        ...       ...       ...  ...       ...       ...       ...   \n",
       "351  -0.649554  0.534756  0.886183  ... -0.074659  0.397405  0.199030   \n",
       "741  -0.230310 -0.012302  0.123302  ...  0.171834  0.659725 -0.064483   \n",
       "1056 -2.537387  1.391657 -2.770089  ...  0.517232 -0.035049 -0.465211   \n",
       "321  -0.581071  0.480997 -2.517037  ... -0.051895  0.070846  0.039321   \n",
       "1150 -2.537387  1.391657 -2.770089  ...  0.517232 -0.035049 -0.465211   \n",
       "\n",
       "           V24       V25       V26       V27       V28  Amount  Class  \n",
       "1364 -0.857105 -0.219322  0.861019 -0.124622 -0.171060    1.50      1  \n",
       "610  -0.326228  0.587978 -0.126954  0.123830  0.485189   79.00      0  \n",
       "852  -1.363967 -1.389079  0.075412  0.231750  0.230171    0.99      1  \n",
       "1234 -0.293803  0.279798 -0.145362 -0.252773  0.035764  529.00      1  \n",
       "476   0.704604 -0.349903  0.146041  0.289965  0.159572    2.67      0  \n",
       "...        ...       ...       ...       ...       ...     ...    ...  \n",
       "351  -1.386013 -0.141955 -0.984011  0.274079 -0.019784   55.45      0  \n",
       "741   0.125329  0.506081 -0.270854  0.069604  0.030001    1.00      0  \n",
       "1056  0.320198  0.044519  0.177840  0.261145 -0.143276    0.00      1  \n",
       "321   0.275750 -0.330251 -0.423936  0.251989  0.133957   25.00      0  \n",
       "1150  0.320198  0.044519  0.177840  0.261145 -0.143276    0.00      1  \n",
       "\n",
       "[1000 rows x 31 columns]"
      ]
     },
     "execution_count": 246,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Count the number of positive and negative samples\n",
    "n_negative,n_positive = df_ros['Class'].value_counts()\n",
    "\n",
    "# Calculate the weights for each sample\n",
    "weights = np.zeros(len(df_ros))\n",
    "weights[df_ros['Class'] == 1] = 1 / n_positive\n",
    "weights[df_ros['Class'] == 0] = 1 / n_negative\n",
    "weights = weights / np.sum(weights)\n",
    "\n",
    "# Set the sample size\n",
    "sample_size = 1000\n",
    "\n",
    "# Perform weighted sampling\n",
    "sample_indices = np.random.choice(range(len(df_ros)), size=sample_size, replace=False, p=weights)\n",
    "weighted_sample=df_ros.iloc[sample_indices]\n",
    "weighted_sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "id": "67d04436",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_weighted=weighted_sample.iloc[:,:-1]\n",
    "Y_weighted=weighted_sample.iloc[:,-1]\n",
    "x_train,x_test,y_train,y_test=train_test_split(X_weighted,Y_weighted,train_size=0.7)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "93e2eae4",
   "metadata": {},
   "source": [
    "#### Applying Logistic Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "id": "c9cf7a37",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py:814: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.8933333333333333"
      ]
     },
     "execution_count": 248,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import accuracy_score\n",
    "lr=LogisticRegression()\n",
    "lr.fit(x_train,y_train)\n",
    "y_pred=lr.predict(x_test)\n",
    "ac1=accuracy_score(y_test,y_pred)\n",
    "ac1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71ab35fe",
   "metadata": {},
   "source": [
    "#### Applying Extra Gradient Boost Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 249,
   "id": "cb34d45c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 249,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from xgboost import XGBClassifier\n",
    "xgb=XGBClassifier()\n",
    "xgb.fit(x_train,y_train)\n",
    "y_pred=xgb.predict(x_test)\n",
    "ac2=accuracy_score(y_test,y_pred)\n",
    "ac2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ed5b5e5",
   "metadata": {},
   "source": [
    "#### Applying Random Forest Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 250,
   "id": "7d6c8a31",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 250,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "rfc=RandomForestClassifier()\n",
    "rfc.fit(x_train,y_train)\n",
    "y_pred=rfc.predict(x_test)\n",
    "ac3=accuracy_score(y_test,y_pred)\n",
    "ac3"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0dfc49fc",
   "metadata": {},
   "source": [
    "#### Applying Support Vector Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 251,
   "id": "dd94a96c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.67"
      ]
     },
     "execution_count": 251,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.svm import SVC\n",
    "svc=SVC()\n",
    "svc.fit(x_train,y_train)\n",
    "y_pred=svc.predict(x_test)\n",
    "ac4=accuracy_score(y_test,y_pred)\n",
    "ac4"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91c3fb75",
   "metadata": {},
   "source": [
    "#### Applying K-Nearest Neighbour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "id": "3f6d3aae",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\neighbors\\_classification.py:228: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n",
      "  mode, _ = stats.mode(_y[neigh_ind, k], axis=1)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.9733333333333334"
      ]
     },
     "execution_count": 252,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "knn=KNeighborsClassifier()     # by default it takes 5 neighbors\n",
    "knn.fit(x_train,y_train)\n",
    "y_pred=knn.predict(x_test)\n",
    "ac5=accuracy_score(y_test,y_pred)\n",
    "ac5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "id": "aff99613",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0.893333\n",
       "1    1.000000\n",
       "2    1.000000\n",
       "3    0.670000\n",
       "4    0.973333\n",
       "dtype: float64"
      ]
     },
     "execution_count": 253,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m5=pd.Series([ac1,ac2,ac3,ac4,ac5])\n",
    "m5"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "243d7165",
   "metadata": {},
   "source": [
    "## Final Accuracy of 5 Models over 5 Different Samples "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 260,
   "id": "6c84588b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<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>Sample 1</th>\n",
       "      <th>Sample 2</th>\n",
       "      <th>Sample 3</th>\n",
       "      <th>Sample 4</th>\n",
       "      <th>Sample 5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Logistic Regression</th>\n",
       "      <td>0.896552</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.933333</td>\n",
       "      <td>0.919740</td>\n",
       "      <td>0.893333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Extra Gradient Boost (XGBoost)</th>\n",
       "      <td>0.982759</td>\n",
       "      <td>0.916667</td>\n",
       "      <td>0.986667</td>\n",
       "      <td>0.995662</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Random Forest</th>\n",
       "      <td>0.991379</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Support Vector Classifier</th>\n",
       "      <td>0.689655</td>\n",
       "      <td>0.583333</td>\n",
       "      <td>0.756667</td>\n",
       "      <td>0.772234</td>\n",
       "      <td>0.670000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>K-Nearest Neighbour</th>\n",
       "      <td>0.948276</td>\n",
       "      <td>0.583333</td>\n",
       "      <td>0.966667</td>\n",
       "      <td>0.986985</td>\n",
       "      <td>0.973333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                Sample 1  Sample 2  Sample 3  Sample 4  \\\n",
       "Logistic Regression             0.896552  0.750000  0.933333  0.919740   \n",
       "Extra Gradient Boost (XGBoost)  0.982759  0.916667  0.986667  0.995662   \n",
       "Random Forest                   0.991379  1.000000  1.000000  1.000000   \n",
       "Support Vector Classifier       0.689655  0.583333  0.756667  0.772234   \n",
       "K-Nearest Neighbour             0.948276  0.583333  0.966667  0.986985   \n",
       "\n",
       "                                Sample 5  \n",
       "Logistic Regression             0.893333  \n",
       "Extra Gradient Boost (XGBoost)  1.000000  \n",
       "Random Forest                   1.000000  \n",
       "Support Vector Classifier       0.670000  \n",
       "K-Nearest Neighbour             0.973333  "
      ]
     },
     "execution_count": 260,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model=pd.concat([m1,m2,m3,m4,m5],axis=1)\n",
    "model.columns=['Sample 1','Sample 2','Sample 3','Sample 4','Sample 5']\n",
    "model.index=['Logistic Regression','Extra Gradient Boost (XGBoost)','Random Forest','Support Vector Classifier','K-Nearest Neighbour']\n",
    "model"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79b5b1c7",
   "metadata": {},
   "source": [
    "## Result Computed"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b037d405",
   "metadata": {},
   "source": [
    "### Among 5 ML Models which are individually applied on 5 different Samples:\n",
    "### Both XGBoost and Random Forest gives Best Accuracy over all the five Samples"
   ]
  }
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