4995Final_Project.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# A Brief Analysis on Flight Passenger Satisfaction Data\n",
    "# Group #25: Longyuan Gao (lg3230), Ken Xiong (kx2175), Samya Ahsan (ska2138)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np \n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "\n",
    "df1 = pd.read_csv(\"./test.csv\")\n",
    "df2 = pd.read_csv(\"./train.csv\")\n",
    "df = pd.concat([df1,df2])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np \n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "df1 = pd.read_csv(\"./test.csv\")\n",
    "df2 = pd.read_csv(\"./train.csv\")\n",
    "df = pd.concat([df1,df2])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Basic Knowledge of the Dataset\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 129880 entries, 0 to 103903\n",
      "Data columns (total 25 columns):\n",
      " #   Column                             Non-Null Count   Dtype  \n",
      "---  ------                             --------------   -----  \n",
      " 0   Unnamed: 0                         129880 non-null  int64  \n",
      " 1   id                                 129880 non-null  int64  \n",
      " 2   Gender                             129880 non-null  object \n",
      " 3   Customer Type                      129880 non-null  object \n",
      " 4   Age                                129880 non-null  int64  \n",
      " 5   Type of Travel                     129880 non-null  object \n",
      " 6   Class                              129880 non-null  object \n",
      " 7   Flight Distance                    129880 non-null  int64  \n",
      " 8   Inflight wifi service              129880 non-null  int64  \n",
      " 9   Departure/Arrival time convenient  129880 non-null  int64  \n",
      " 10  Ease of Online booking             129880 non-null  int64  \n",
      " 11  Gate location                      129880 non-null  int64  \n",
      " 12  Food and drink                     129880 non-null  int64  \n",
      " 13  Online boarding                    129880 non-null  int64  \n",
      " 14  Seat comfort                       129880 non-null  int64  \n",
      " 15  Inflight entertainment             129880 non-null  int64  \n",
      " 16  On-board service                   129880 non-null  int64  \n",
      " 17  Leg room service                   129880 non-null  int64  \n",
      " 18  Baggage handling                   129880 non-null  int64  \n",
      " 19  Checkin service                    129880 non-null  int64  \n",
      " 20  Inflight service                   129880 non-null  int64  \n",
      " 21  Cleanliness                        129880 non-null  int64  \n",
      " 22  Departure Delay in Minutes         129880 non-null  int64  \n",
      " 23  Arrival Delay in Minutes           129487 non-null  float64\n",
      " 24  satisfaction                       129880 non-null  object \n",
      "dtypes: float64(1), int64(19), object(5)\n",
      "memory usage: 25.8+ MB\n"
     ]
    }
   ],
   "source": [
    "\n",
    "df.info()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. There are 24 feature columns, and the target is the “satisfaction” column;\n",
    "2. The features are all floats and ints except for \"Gender\", \"Customer Type\", \"Type of Travel\", and\n",
    "\"Class\", as they are objects;\n",
    "3. The target column, \"satisfaction\", is an object;\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Missing Value Analysis\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0                             0\n",
       "id                                     0\n",
       "Gender                                 0\n",
       "Customer Type                          0\n",
       "Age                                    0\n",
       "Type of Travel                         0\n",
       "Class                                  0\n",
       "Flight Distance                        0\n",
       "Inflight wifi service                  0\n",
       "Departure/Arrival time convenient      0\n",
       "Ease of Online booking                 0\n",
       "Gate location                          0\n",
       "Food and drink                         0\n",
       "Online boarding                        0\n",
       "Seat comfort                           0\n",
       "Inflight entertainment                 0\n",
       "On-board service                       0\n",
       "Leg room service                       0\n",
       "Baggage handling                       0\n",
       "Checkin service                        0\n",
       "Inflight service                       0\n",
       "Cleanliness                            0\n",
       "Departure Delay in Minutes             0\n",
       "Arrival Delay in Minutes             393\n",
       "satisfaction                           0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum(df.isna(),axis=0)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The only column with missing values is “Arrival Delay in Minutes” column with 393 missing values (but later we will drop this column);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Is the Dataset Balanced?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "neutral or dissatisfied    73452\n",
       "satisfied                  56428\n",
       "Name: satisfaction, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vc=df[\"satisfaction\"].value_counts()\n",
    "vc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Count')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(x=vc.index, height=vc.values)\n",
    "plt.title(\"Class Distribution\")\n",
    "plt.xlabel(\"Class\")\n",
    "plt.ylabel(\"Count\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have an imbalanced dataset, since we have 73452 observations with class \"neutral or\n",
    "dissatisfied\" and 56428 \"satisfied\" observations as shown in the figure above"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Correlation Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "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",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>id</th>\n",
       "      <th>Age</th>\n",
       "      <th>Flight Distance</th>\n",
       "      <th>Inflight wifi service</th>\n",
       "      <th>Departure/Arrival time convenient</th>\n",
       "      <th>Ease of Online booking</th>\n",
       "      <th>Gate location</th>\n",
       "      <th>Food and drink</th>\n",
       "      <th>Online boarding</th>\n",
       "      <th>Seat comfort</th>\n",
       "      <th>Inflight entertainment</th>\n",
       "      <th>On-board service</th>\n",
       "      <th>Leg room service</th>\n",
       "      <th>Baggage handling</th>\n",
       "      <th>Checkin service</th>\n",
       "      <th>Inflight service</th>\n",
       "      <th>Cleanliness</th>\n",
       "      <th>Departure Delay in Minutes</th>\n",
       "      <th>Arrival Delay in Minutes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.002199</td>\n",
       "      <td>0.000109</td>\n",
       "      <td>0.001160</td>\n",
       "      <td>-0.001320</td>\n",
       "      <td>0.002141</td>\n",
       "      <td>0.001388</td>\n",
       "      <td>0.003799</td>\n",
       "      <td>-0.004171</td>\n",
       "      <td>-0.000912</td>\n",
       "      <td>-0.001724</td>\n",
       "      <td>0.000485</td>\n",
       "      <td>0.000170</td>\n",
       "      <td>0.003046</td>\n",
       "      <td>-0.000626</td>\n",
       "      <td>-0.004747</td>\n",
       "      <td>-0.001990</td>\n",
       "      <td>-0.001083</td>\n",
       "      <td>0.002358</td>\n",
       "      <td>0.002099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id</th>\n",
       "      <td>0.002199</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.020322</td>\n",
       "      <td>0.095504</td>\n",
       "      <td>-0.023096</td>\n",
       "      <td>-0.002192</td>\n",
       "      <td>0.013400</td>\n",
       "      <td>-0.000113</td>\n",
       "      <td>-0.000510</td>\n",
       "      <td>0.055538</td>\n",
       "      <td>0.052164</td>\n",
       "      <td>0.001620</td>\n",
       "      <td>0.055502</td>\n",
       "      <td>0.044088</td>\n",
       "      <td>0.074569</td>\n",
       "      <td>0.079325</td>\n",
       "      <td>0.078793</td>\n",
       "      <td>0.024048</td>\n",
       "      <td>-0.017643</td>\n",
       "      <td>-0.035657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Age</th>\n",
       "      <td>0.000109</td>\n",
       "      <td>0.020322</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.099459</td>\n",
       "      <td>0.016116</td>\n",
       "      <td>0.036960</td>\n",
       "      <td>0.022565</td>\n",
       "      <td>-0.000398</td>\n",
       "      <td>0.023194</td>\n",
       "      <td>0.207572</td>\n",
       "      <td>0.159136</td>\n",
       "      <td>0.074947</td>\n",
       "      <td>0.057078</td>\n",
       "      <td>0.039119</td>\n",
       "      <td>-0.047991</td>\n",
       "      <td>0.033475</td>\n",
       "      <td>-0.051347</td>\n",
       "      <td>0.052565</td>\n",
       "      <td>-0.009041</td>\n",
       "      <td>-0.011248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Flight Distance</th>\n",
       "      <td>0.001160</td>\n",
       "      <td>0.095504</td>\n",
       "      <td>0.099459</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.006701</td>\n",
       "      <td>-0.018914</td>\n",
       "      <td>0.065165</td>\n",
       "      <td>0.005520</td>\n",
       "      <td>0.057066</td>\n",
       "      <td>0.214825</td>\n",
       "      <td>0.157662</td>\n",
       "      <td>0.130507</td>\n",
       "      <td>0.111194</td>\n",
       "      <td>0.134533</td>\n",
       "      <td>0.064855</td>\n",
       "      <td>0.073608</td>\n",
       "      <td>0.059316</td>\n",
       "      <td>0.095648</td>\n",
       "      <td>0.002402</td>\n",
       "      <td>-0.001935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Inflight wifi service</th>\n",
       "      <td>-0.001320</td>\n",
       "      <td>-0.023096</td>\n",
       "      <td>0.016116</td>\n",
       "      <td>0.006701</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.344915</td>\n",
       "      <td>0.714807</td>\n",
       "      <td>0.338573</td>\n",
       "      <td>0.132214</td>\n",
       "      <td>0.457445</td>\n",
       "      <td>0.121513</td>\n",
       "      <td>0.207802</td>\n",
       "      <td>0.119928</td>\n",
       "      <td>0.160317</td>\n",
       "      <td>0.120376</td>\n",
       "      <td>0.043762</td>\n",
       "      <td>0.110029</td>\n",
       "      <td>0.131300</td>\n",
       "      <td>-0.015946</td>\n",
       "      <td>-0.017749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Departure/Arrival time convenient</th>\n",
       "      <td>0.002141</td>\n",
       "      <td>-0.002192</td>\n",
       "      <td>0.036960</td>\n",
       "      <td>-0.018914</td>\n",
       "      <td>0.344915</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.437620</td>\n",
       "      <td>0.447510</td>\n",
       "      <td>0.000687</td>\n",
       "      <td>0.072287</td>\n",
       "      <td>0.008666</td>\n",
       "      <td>-0.008380</td>\n",
       "      <td>0.067297</td>\n",
       "      <td>0.010617</td>\n",
       "      <td>0.070833</td>\n",
       "      <td>0.091132</td>\n",
       "      <td>0.072195</td>\n",
       "      <td>0.009862</td>\n",
       "      <td>0.000778</td>\n",
       "      <td>-0.000942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ease of Online booking</th>\n",
       "      <td>0.001388</td>\n",
       "      <td>0.013400</td>\n",
       "      <td>0.022565</td>\n",
       "      <td>0.065165</td>\n",
       "      <td>0.714807</td>\n",
       "      <td>0.437620</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.460041</td>\n",
       "      <td>0.030514</td>\n",
       "      <td>0.404866</td>\n",
       "      <td>0.028561</td>\n",
       "      <td>0.046564</td>\n",
       "      <td>0.039064</td>\n",
       "      <td>0.109450</td>\n",
       "      <td>0.039148</td>\n",
       "      <td>0.008819</td>\n",
       "      <td>0.035373</td>\n",
       "      <td>0.015125</td>\n",
       "      <td>-0.005318</td>\n",
       "      <td>-0.007033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gate location</th>\n",
       "      <td>0.003799</td>\n",
       "      <td>-0.000113</td>\n",
       "      <td>-0.000398</td>\n",
       "      <td>0.005520</td>\n",
       "      <td>0.338573</td>\n",
       "      <td>0.447510</td>\n",
       "      <td>0.460041</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.002872</td>\n",
       "      <td>0.002756</td>\n",
       "      <td>0.002788</td>\n",
       "      <td>0.002741</td>\n",
       "      <td>-0.029019</td>\n",
       "      <td>-0.005181</td>\n",
       "      <td>0.000972</td>\n",
       "      <td>-0.039353</td>\n",
       "      <td>0.000310</td>\n",
       "      <td>-0.005918</td>\n",
       "      <td>0.005973</td>\n",
       "      <td>0.005658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Food and drink</th>\n",
       "      <td>-0.004171</td>\n",
       "      <td>-0.000510</td>\n",
       "      <td>0.023194</td>\n",
       "      <td>0.057066</td>\n",
       "      <td>0.132214</td>\n",
       "      <td>0.000687</td>\n",
       "      <td>0.030514</td>\n",
       "      <td>-0.002872</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.233500</td>\n",
       "      <td>0.575846</td>\n",
       "      <td>0.623461</td>\n",
       "      <td>0.057404</td>\n",
       "      <td>0.033173</td>\n",
       "      <td>0.035321</td>\n",
       "      <td>0.085198</td>\n",
       "      <td>0.035210</td>\n",
       "      <td>0.658054</td>\n",
       "      <td>-0.029164</td>\n",
       "      <td>-0.031715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Online boarding</th>\n",
       "      <td>-0.000912</td>\n",
       "      <td>0.055538</td>\n",
       "      <td>0.207572</td>\n",
       "      <td>0.214825</td>\n",
       "      <td>0.457445</td>\n",
       "      <td>0.072287</td>\n",
       "      <td>0.404866</td>\n",
       "      <td>0.002756</td>\n",
       "      <td>0.233500</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.419253</td>\n",
       "      <td>0.283922</td>\n",
       "      <td>0.154242</td>\n",
       "      <td>0.123225</td>\n",
       "      <td>0.083541</td>\n",
       "      <td>0.204238</td>\n",
       "      <td>0.074058</td>\n",
       "      <td>0.329377</td>\n",
       "      <td>-0.019404</td>\n",
       "      <td>-0.022730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Seat comfort</th>\n",
       "      <td>-0.001724</td>\n",
       "      <td>0.052164</td>\n",
       "      <td>0.159136</td>\n",
       "      <td>0.157662</td>\n",
       "      <td>0.121513</td>\n",
       "      <td>0.008666</td>\n",
       "      <td>0.028561</td>\n",
       "      <td>0.002788</td>\n",
       "      <td>0.575846</td>\n",
       "      <td>0.419253</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.611837</td>\n",
       "      <td>0.130545</td>\n",
       "      <td>0.104272</td>\n",
       "      <td>0.074620</td>\n",
       "      <td>0.189979</td>\n",
       "      <td>0.068842</td>\n",
       "      <td>0.679613</td>\n",
       "      <td>-0.027999</td>\n",
       "      <td>-0.030521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Inflight entertainment</th>\n",
       "      <td>0.000485</td>\n",
       "      <td>0.001620</td>\n",
       "      <td>0.074947</td>\n",
       "      <td>0.130507</td>\n",
       "      <td>0.207802</td>\n",
       "      <td>-0.008380</td>\n",
       "      <td>0.046564</td>\n",
       "      <td>0.002741</td>\n",
       "      <td>0.623461</td>\n",
       "      <td>0.283922</td>\n",
       "      <td>0.611837</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.418574</td>\n",
       "      <td>0.300397</td>\n",
       "      <td>0.379123</td>\n",
       "      <td>0.119554</td>\n",
       "      <td>0.406094</td>\n",
       "      <td>0.692511</td>\n",
       "      <td>-0.027012</td>\n",
       "      <td>-0.030230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>On-board service</th>\n",
       "      <td>0.000170</td>\n",
       "      <td>0.055502</td>\n",
       "      <td>0.057078</td>\n",
       "      <td>0.111194</td>\n",
       "      <td>0.119928</td>\n",
       "      <td>0.067297</td>\n",
       "      <td>0.039064</td>\n",
       "      <td>-0.029019</td>\n",
       "      <td>0.057404</td>\n",
       "      <td>0.154242</td>\n",
       "      <td>0.130545</td>\n",
       "      <td>0.418574</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.357721</td>\n",
       "      <td>0.520296</td>\n",
       "      <td>0.244619</td>\n",
       "      <td>0.551569</td>\n",
       "      <td>0.122084</td>\n",
       "      <td>-0.030486</td>\n",
       "      <td>-0.034789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Leg room service</th>\n",
       "      <td>0.003046</td>\n",
       "      <td>0.044088</td>\n",
       "      <td>0.039119</td>\n",
       "      <td>0.134533</td>\n",
       "      <td>0.160317</td>\n",
       "      <td>0.010617</td>\n",
       "      <td>0.109450</td>\n",
       "      <td>-0.005181</td>\n",
       "      <td>0.033173</td>\n",
       "      <td>0.123225</td>\n",
       "      <td>0.104272</td>\n",
       "      <td>0.300397</td>\n",
       "      <td>0.357721</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.371455</td>\n",
       "      <td>0.152693</td>\n",
       "      <td>0.369569</td>\n",
       "      <td>0.096695</td>\n",
       "      <td>0.014574</td>\n",
       "      <td>0.011346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Baggage handling</th>\n",
       "      <td>-0.000626</td>\n",
       "      <td>0.074569</td>\n",
       "      <td>-0.047991</td>\n",
       "      <td>0.064855</td>\n",
       "      <td>0.120376</td>\n",
       "      <td>0.070833</td>\n",
       "      <td>0.039148</td>\n",
       "      <td>0.000972</td>\n",
       "      <td>0.035321</td>\n",
       "      <td>0.083541</td>\n",
       "      <td>0.074620</td>\n",
       "      <td>0.379123</td>\n",
       "      <td>0.520296</td>\n",
       "      <td>0.371455</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.234503</td>\n",
       "      <td>0.629237</td>\n",
       "      <td>0.097071</td>\n",
       "      <td>-0.004105</td>\n",
       "      <td>-0.007935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Checkin service</th>\n",
       "      <td>-0.004747</td>\n",
       "      <td>0.079325</td>\n",
       "      <td>0.033475</td>\n",
       "      <td>0.073608</td>\n",
       "      <td>0.043762</td>\n",
       "      <td>0.091132</td>\n",
       "      <td>0.008819</td>\n",
       "      <td>-0.039353</td>\n",
       "      <td>0.085198</td>\n",
       "      <td>0.204238</td>\n",
       "      <td>0.189979</td>\n",
       "      <td>0.119554</td>\n",
       "      <td>0.244619</td>\n",
       "      <td>0.152693</td>\n",
       "      <td>0.234503</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.237601</td>\n",
       "      <td>0.176658</td>\n",
       "      <td>-0.018752</td>\n",
       "      <td>-0.021705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Inflight service</th>\n",
       "      <td>-0.001990</td>\n",
       "      <td>0.078793</td>\n",
       "      <td>-0.051347</td>\n",
       "      <td>0.059316</td>\n",
       "      <td>0.110029</td>\n",
       "      <td>0.072195</td>\n",
       "      <td>0.035373</td>\n",
       "      <td>0.000310</td>\n",
       "      <td>0.035210</td>\n",
       "      <td>0.074058</td>\n",
       "      <td>0.068842</td>\n",
       "      <td>0.406094</td>\n",
       "      <td>0.551569</td>\n",
       "      <td>0.369569</td>\n",
       "      <td>0.629237</td>\n",
       "      <td>0.237601</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.090356</td>\n",
       "      <td>-0.054432</td>\n",
       "      <td>-0.059853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cleanliness</th>\n",
       "      <td>-0.001083</td>\n",
       "      <td>0.024048</td>\n",
       "      <td>0.052565</td>\n",
       "      <td>0.095648</td>\n",
       "      <td>0.131300</td>\n",
       "      <td>0.009862</td>\n",
       "      <td>0.015125</td>\n",
       "      <td>-0.005918</td>\n",
       "      <td>0.658054</td>\n",
       "      <td>0.329377</td>\n",
       "      <td>0.679613</td>\n",
       "      <td>0.692511</td>\n",
       "      <td>0.122084</td>\n",
       "      <td>0.096695</td>\n",
       "      <td>0.097071</td>\n",
       "      <td>0.176658</td>\n",
       "      <td>0.090356</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.014543</td>\n",
       "      <td>-0.016546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Departure Delay in Minutes</th>\n",
       "      <td>0.002358</td>\n",
       "      <td>-0.017643</td>\n",
       "      <td>-0.009041</td>\n",
       "      <td>0.002402</td>\n",
       "      <td>-0.015946</td>\n",
       "      <td>0.000778</td>\n",
       "      <td>-0.005318</td>\n",
       "      <td>0.005973</td>\n",
       "      <td>-0.029164</td>\n",
       "      <td>-0.019404</td>\n",
       "      <td>-0.027999</td>\n",
       "      <td>-0.027012</td>\n",
       "      <td>-0.030486</td>\n",
       "      <td>0.014574</td>\n",
       "      <td>-0.004105</td>\n",
       "      <td>-0.018752</td>\n",
       "      <td>-0.054432</td>\n",
       "      <td>-0.014543</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.965291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arrival Delay in Minutes</th>\n",
       "      <td>0.002099</td>\n",
       "      <td>-0.035657</td>\n",
       "      <td>-0.011248</td>\n",
       "      <td>-0.001935</td>\n",
       "      <td>-0.017749</td>\n",
       "      <td>-0.000942</td>\n",
       "      <td>-0.007033</td>\n",
       "      <td>0.005658</td>\n",
       "      <td>-0.031715</td>\n",
       "      <td>-0.022730</td>\n",
       "      <td>-0.030521</td>\n",
       "      <td>-0.030230</td>\n",
       "      <td>-0.034789</td>\n",
       "      <td>0.011346</td>\n",
       "      <td>-0.007935</td>\n",
       "      <td>-0.021705</td>\n",
       "      <td>-0.059853</td>\n",
       "      <td>-0.016546</td>\n",
       "      <td>0.965291</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   Unnamed: 0        id       Age  \\\n",
       "Unnamed: 0                           1.000000  0.002199  0.000109   \n",
       "id                                   0.002199  1.000000  0.020322   \n",
       "Age                                  0.000109  0.020322  1.000000   \n",
       "Flight Distance                      0.001160  0.095504  0.099459   \n",
       "Inflight wifi service               -0.001320 -0.023096  0.016116   \n",
       "Departure/Arrival time convenient    0.002141 -0.002192  0.036960   \n",
       "Ease of Online booking               0.001388  0.013400  0.022565   \n",
       "Gate location                        0.003799 -0.000113 -0.000398   \n",
       "Food and drink                      -0.004171 -0.000510  0.023194   \n",
       "Online boarding                     -0.000912  0.055538  0.207572   \n",
       "Seat comfort                        -0.001724  0.052164  0.159136   \n",
       "Inflight entertainment               0.000485  0.001620  0.074947   \n",
       "On-board service                     0.000170  0.055502  0.057078   \n",
       "Leg room service                     0.003046  0.044088  0.039119   \n",
       "Baggage handling                    -0.000626  0.074569 -0.047991   \n",
       "Checkin service                     -0.004747  0.079325  0.033475   \n",
       "Inflight service                    -0.001990  0.078793 -0.051347   \n",
       "Cleanliness                         -0.001083  0.024048  0.052565   \n",
       "Departure Delay in Minutes           0.002358 -0.017643 -0.009041   \n",
       "Arrival Delay in Minutes             0.002099 -0.035657 -0.011248   \n",
       "\n",
       "                                   Flight Distance  Inflight wifi service  \\\n",
       "Unnamed: 0                                0.001160              -0.001320   \n",
       "id                                        0.095504              -0.023096   \n",
       "Age                                       0.099459               0.016116   \n",
       "Flight Distance                           1.000000               0.006701   \n",
       "Inflight wifi service                     0.006701               1.000000   \n",
       "Departure/Arrival time convenient        -0.018914               0.344915   \n",
       "Ease of Online booking                    0.065165               0.714807   \n",
       "Gate location                             0.005520               0.338573   \n",
       "Food and drink                            0.057066               0.132214   \n",
       "Online boarding                           0.214825               0.457445   \n",
       "Seat comfort                              0.157662               0.121513   \n",
       "Inflight entertainment                    0.130507               0.207802   \n",
       "On-board service                          0.111194               0.119928   \n",
       "Leg room service                          0.134533               0.160317   \n",
       "Baggage handling                          0.064855               0.120376   \n",
       "Checkin service                           0.073608               0.043762   \n",
       "Inflight service                          0.059316               0.110029   \n",
       "Cleanliness                               0.095648               0.131300   \n",
       "Departure Delay in Minutes                0.002402              -0.015946   \n",
       "Arrival Delay in Minutes                 -0.001935              -0.017749   \n",
       "\n",
       "                                   Departure/Arrival time convenient  \\\n",
       "Unnamed: 0                                                  0.002141   \n",
       "id                                                         -0.002192   \n",
       "Age                                                         0.036960   \n",
       "Flight Distance                                            -0.018914   \n",
       "Inflight wifi service                                       0.344915   \n",
       "Departure/Arrival time convenient                           1.000000   \n",
       "Ease of Online booking                                      0.437620   \n",
       "Gate location                                               0.447510   \n",
       "Food and drink                                              0.000687   \n",
       "Online boarding                                             0.072287   \n",
       "Seat comfort                                                0.008666   \n",
       "Inflight entertainment                                     -0.008380   \n",
       "On-board service                                            0.067297   \n",
       "Leg room service                                            0.010617   \n",
       "Baggage handling                                            0.070833   \n",
       "Checkin service                                             0.091132   \n",
       "Inflight service                                            0.072195   \n",
       "Cleanliness                                                 0.009862   \n",
       "Departure Delay in Minutes                                  0.000778   \n",
       "Arrival Delay in Minutes                                   -0.000942   \n",
       "\n",
       "                                   Ease of Online booking  Gate location  \\\n",
       "Unnamed: 0                                       0.001388       0.003799   \n",
       "id                                               0.013400      -0.000113   \n",
       "Age                                              0.022565      -0.000398   \n",
       "Flight Distance                                  0.065165       0.005520   \n",
       "Inflight wifi service                            0.714807       0.338573   \n",
       "Departure/Arrival time convenient                0.437620       0.447510   \n",
       "Ease of Online booking                           1.000000       0.460041   \n",
       "Gate location                                    0.460041       1.000000   \n",
       "Food and drink                                   0.030514      -0.002872   \n",
       "Online boarding                                  0.404866       0.002756   \n",
       "Seat comfort                                     0.028561       0.002788   \n",
       "Inflight entertainment                           0.046564       0.002741   \n",
       "On-board service                                 0.039064      -0.029019   \n",
       "Leg room service                                 0.109450      -0.005181   \n",
       "Baggage handling                                 0.039148       0.000972   \n",
       "Checkin service                                  0.008819      -0.039353   \n",
       "Inflight service                                 0.035373       0.000310   \n",
       "Cleanliness                                      0.015125      -0.005918   \n",
       "Departure Delay in Minutes                      -0.005318       0.005973   \n",
       "Arrival Delay in Minutes                        -0.007033       0.005658   \n",
       "\n",
       "                                   Food and drink  Online boarding  \\\n",
       "Unnamed: 0                              -0.004171        -0.000912   \n",
       "id                                      -0.000510         0.055538   \n",
       "Age                                      0.023194         0.207572   \n",
       "Flight Distance                          0.057066         0.214825   \n",
       "Inflight wifi service                    0.132214         0.457445   \n",
       "Departure/Arrival time convenient        0.000687         0.072287   \n",
       "Ease of Online booking                   0.030514         0.404866   \n",
       "Gate location                           -0.002872         0.002756   \n",
       "Food and drink                           1.000000         0.233500   \n",
       "Online boarding                          0.233500         1.000000   \n",
       "Seat comfort                             0.575846         0.419253   \n",
       "Inflight entertainment                   0.623461         0.283922   \n",
       "On-board service                         0.057404         0.154242   \n",
       "Leg room service                         0.033173         0.123225   \n",
       "Baggage handling                         0.035321         0.083541   \n",
       "Checkin service                          0.085198         0.204238   \n",
       "Inflight service                         0.035210         0.074058   \n",
       "Cleanliness                              0.658054         0.329377   \n",
       "Departure Delay in Minutes              -0.029164        -0.019404   \n",
       "Arrival Delay in Minutes                -0.031715        -0.022730   \n",
       "\n",
       "                                   Seat comfort  Inflight entertainment  \\\n",
       "Unnamed: 0                            -0.001724                0.000485   \n",
       "id                                     0.052164                0.001620   \n",
       "Age                                    0.159136                0.074947   \n",
       "Flight Distance                        0.157662                0.130507   \n",
       "Inflight wifi service                  0.121513                0.207802   \n",
       "Departure/Arrival time convenient      0.008666               -0.008380   \n",
       "Ease of Online booking                 0.028561                0.046564   \n",
       "Gate location                          0.002788                0.002741   \n",
       "Food and drink                         0.575846                0.623461   \n",
       "Online boarding                        0.419253                0.283922   \n",
       "Seat comfort                           1.000000                0.611837   \n",
       "Inflight entertainment                 0.611837                1.000000   \n",
       "On-board service                       0.130545                0.418574   \n",
       "Leg room service                       0.104272                0.300397   \n",
       "Baggage handling                       0.074620                0.379123   \n",
       "Checkin service                        0.189979                0.119554   \n",
       "Inflight service                       0.068842                0.406094   \n",
       "Cleanliness                            0.679613                0.692511   \n",
       "Departure Delay in Minutes            -0.027999               -0.027012   \n",
       "Arrival Delay in Minutes              -0.030521               -0.030230   \n",
       "\n",
       "                                   On-board service  Leg room service  \\\n",
       "Unnamed: 0                                 0.000170          0.003046   \n",
       "id                                         0.055502          0.044088   \n",
       "Age                                        0.057078          0.039119   \n",
       "Flight Distance                            0.111194          0.134533   \n",
       "Inflight wifi service                      0.119928          0.160317   \n",
       "Departure/Arrival time convenient          0.067297          0.010617   \n",
       "Ease of Online booking                     0.039064          0.109450   \n",
       "Gate location                             -0.029019         -0.005181   \n",
       "Food and drink                             0.057404          0.033173   \n",
       "Online boarding                            0.154242          0.123225   \n",
       "Seat comfort                               0.130545          0.104272   \n",
       "Inflight entertainment                     0.418574          0.300397   \n",
       "On-board service                           1.000000          0.357721   \n",
       "Leg room service                           0.357721          1.000000   \n",
       "Baggage handling                           0.520296          0.371455   \n",
       "Checkin service                            0.244619          0.152693   \n",
       "Inflight service                           0.551569          0.369569   \n",
       "Cleanliness                                0.122084          0.096695   \n",
       "Departure Delay in Minutes                -0.030486          0.014574   \n",
       "Arrival Delay in Minutes                  -0.034789          0.011346   \n",
       "\n",
       "                                   Baggage handling  Checkin service  \\\n",
       "Unnamed: 0                                -0.000626        -0.004747   \n",
       "id                                         0.074569         0.079325   \n",
       "Age                                       -0.047991         0.033475   \n",
       "Flight Distance                            0.064855         0.073608   \n",
       "Inflight wifi service                      0.120376         0.043762   \n",
       "Departure/Arrival time convenient          0.070833         0.091132   \n",
       "Ease of Online booking                     0.039148         0.008819   \n",
       "Gate location                              0.000972        -0.039353   \n",
       "Food and drink                             0.035321         0.085198   \n",
       "Online boarding                            0.083541         0.204238   \n",
       "Seat comfort                               0.074620         0.189979   \n",
       "Inflight entertainment                     0.379123         0.119554   \n",
       "On-board service                           0.520296         0.244619   \n",
       "Leg room service                           0.371455         0.152693   \n",
       "Baggage handling                           1.000000         0.234503   \n",
       "Checkin service                            0.234503         1.000000   \n",
       "Inflight service                           0.629237         0.237601   \n",
       "Cleanliness                                0.097071         0.176658   \n",
       "Departure Delay in Minutes                -0.004105        -0.018752   \n",
       "Arrival Delay in Minutes                  -0.007935        -0.021705   \n",
       "\n",
       "                                   Inflight service  Cleanliness  \\\n",
       "Unnamed: 0                                -0.001990    -0.001083   \n",
       "id                                         0.078793     0.024048   \n",
       "Age                                       -0.051347     0.052565   \n",
       "Flight Distance                            0.059316     0.095648   \n",
       "Inflight wifi service                      0.110029     0.131300   \n",
       "Departure/Arrival time convenient          0.072195     0.009862   \n",
       "Ease of Online booking                     0.035373     0.015125   \n",
       "Gate location                              0.000310    -0.005918   \n",
       "Food and drink                             0.035210     0.658054   \n",
       "Online boarding                            0.074058     0.329377   \n",
       "Seat comfort                               0.068842     0.679613   \n",
       "Inflight entertainment                     0.406094     0.692511   \n",
       "On-board service                           0.551569     0.122084   \n",
       "Leg room service                           0.369569     0.096695   \n",
       "Baggage handling                           0.629237     0.097071   \n",
       "Checkin service                            0.237601     0.176658   \n",
       "Inflight service                           1.000000     0.090356   \n",
       "Cleanliness                                0.090356     1.000000   \n",
       "Departure Delay in Minutes                -0.054432    -0.014543   \n",
       "Arrival Delay in Minutes                  -0.059853    -0.016546   \n",
       "\n",
       "                                   Departure Delay in Minutes  \\\n",
       "Unnamed: 0                                           0.002358   \n",
       "id                                                  -0.017643   \n",
       "Age                                                 -0.009041   \n",
       "Flight Distance                                      0.002402   \n",
       "Inflight wifi service                               -0.015946   \n",
       "Departure/Arrival time convenient                    0.000778   \n",
       "Ease of Online booking                              -0.005318   \n",
       "Gate location                                        0.005973   \n",
       "Food and drink                                      -0.029164   \n",
       "Online boarding                                     -0.019404   \n",
       "Seat comfort                                        -0.027999   \n",
       "Inflight entertainment                              -0.027012   \n",
       "On-board service                                    -0.030486   \n",
       "Leg room service                                     0.014574   \n",
       "Baggage handling                                    -0.004105   \n",
       "Checkin service                                     -0.018752   \n",
       "Inflight service                                    -0.054432   \n",
       "Cleanliness                                         -0.014543   \n",
       "Departure Delay in Minutes                           1.000000   \n",
       "Arrival Delay in Minutes                             0.965291   \n",
       "\n",
       "                                   Arrival Delay in Minutes  \n",
       "Unnamed: 0                                         0.002099  \n",
       "id                                                -0.035657  \n",
       "Age                                               -0.011248  \n",
       "Flight Distance                                   -0.001935  \n",
       "Inflight wifi service                             -0.017749  \n",
       "Departure/Arrival time convenient                 -0.000942  \n",
       "Ease of Online booking                            -0.007033  \n",
       "Gate location                                      0.005658  \n",
       "Food and drink                                    -0.031715  \n",
       "Online boarding                                   -0.022730  \n",
       "Seat comfort                                      -0.030521  \n",
       "Inflight entertainment                            -0.030230  \n",
       "On-board service                                  -0.034789  \n",
       "Leg room service                                   0.011346  \n",
       "Baggage handling                                  -0.007935  \n",
       "Checkin service                                   -0.021705  \n",
       "Inflight service                                  -0.059853  \n",
       "Cleanliness                                       -0.016546  \n",
       "Departure Delay in Minutes                         0.965291  \n",
       "Arrival Delay in Minutes                           1.000000  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(df.corr())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " For numeric features, if we set the threshold to be 0.90, then The only highly correlated columns are \"Departure Delays in Minutes\" and \"Arrival Delay in Minutes\" with coefficient 0.965,"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Categorical Features?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[<AxesSubplot:> <AxesSubplot:> <AxesSubplot:> <AxesSubplot:>]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x1152 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cat = [\"Gender\",\"Customer Type\",\"Type of Travel\",\"Class\"]\n",
    "\n",
    "fig,ax = plt.subplots(2,2,figsize=(20,16))\n",
    "ax = ax.ravel()\n",
    "print(ax)\n",
    "\n",
    "for i in range(len(cat)):\n",
    "    tempdf = df[[cat[i],\"satisfaction\"]].groupby(by=[cat[i],\"satisfaction\"]).size()\n",
    "    tempdf = pd.DataFrame({\"var\":[i[0] for i in tempdf.index],\"target\":[i[1] for i in tempdf.index],\"value\":tempdf.values})\n",
    "    sns.barplot(x=tempdf[\"var\"],y=tempdf[\"value\"],hue=tempdf[\"target\"],ax=ax[i])\n",
    "    ax[i].set_xlabel(cat[i])\n",
    "    ax[i].set_ylabel(\"count\")\n",
    "    ax[i].set_title(cat[i]+\" count with respect to target\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For Gender column, there are more female observations than male observations, and for both genders, there are more answers with 0 (neutral or dissatisfied) than answers with 1 (satisfied).</br>\n",
    "For \"Customer Type\" column, there are considerably more observations with loyal customers than disloyal customers, and again, more observations are with answer 0.</br>\n",
    "For \"Type of Travel\" column, more observations are made with business travel than personal travel, and for business travel, 1 answers outnumber 0 answers, but the opposite is true for personal travels.</br>\n",
    "For Class column, eco plus is the class with least number of observations; the other two classes are with considerably more observations. For eco plus and eco classes, more 0 observations are made, and the opposite is true for business class.</br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "vc=df[\"satisfaction\"].value_counts()\n",
    "vc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Count')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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E0rRWddtze1vH9ueAz5X19wE+ZftwST+j+ozJ2VR7OOeVVeaV+T+U5ZfYtqR5wI8lfYPqxPoE4CpAwARJO1CFx6HAewayPRERsXYM9HDWq2vTmwL7AtcAvYZIHz4LnC3pZOBa4MxSPxP4oaROYCVVKGD7RknnADcBTwBH234SQNJHgflUn56fZfvGBuOJiIiGBno462P1eUkjqfYkBsT2ZcBlZfp2qiurerb5O3BwL+t/BfhKi/qFwIUDHUdERKxdTW8F/wjQ5DxJRESsQwZ6TuTXVFdjQXXo6F+Bc9o1qIiIGB4Gek7kf9emnwDutL2sDeOJiIhhZECHs8qNGP9IdSffUcA/2jmoiIgYHgb6zYaHUF1WezBwCHClpNwKPiJiPTfQw1lfAF5tewWApNHAb3n6HlgREbEeGujVWc/rDpDi/tVYNyIi1lED3RP5jaT5wE/K/LvJ5zMiItZ7/X3H+suAMbY/LenfgdeVRX8Azmr34CIi4rmtvz2RUyn3v7L9S+CXAJJeWZa9vY1ji4iI57j+zmuMsb20Z7HUxrdlRBERMWz0FyIj+1g2Yi2OIyIihqH+QqRD0lE9i5I+APT79bgREbFu6++cyDHAuZIO5+nQmAhsDLyzjeOKiIhhoM8QsX0v8BpJbwR2KeULbF/S9pFFRMRz3kC/T+RS4NI2jyUiIoaZfOo8IiIaS4hERERjCZGIiGisbSEiaVNJV0m6XtKNkr5c6jtIulJSp6SfStq41Dcp851l+fhaX58r9Vsk7VerTym1TknHtWtbIiKitXbuiTwGvMn2rsBuwBRJk4CvAd+0/TJgFXBkaX8ksKrUv1naIWkn4FBgZ2AK8F1JG0jaAPgOsD+wE3BYaRsREYOkbSHiysNldqPyMPAmnv4ekjnAgWV6apmnLN9Xkkr9bNuP2f4z0AnsWR6dtm+3/Q/g7NI2IiIGSVvPiZQ9huuAFcAC4DbgAdtPlCbLgLFleixwF0BZ/iCwdb3eY53e6q3GMUNSh6SOrq6utbBlEREBbQ4R20/a3g0YR7XnsGM7X6+Pccy0PdH2xNGjRw/FECIi1kmDcnWW7QeoPqy4NzBSUveHHMcBy8v0cmB7gLJ8S6pvUHyq3mOd3uoRETFI2nl11mhJI8v0COAtwM1UYXJQaTYdOK9MzyvzlOWX2HapH1qu3toBmABcBSwGJpSrvTamOvk+r13bExERzzbQr8dtYltgTrmK6nnAObbPl3QTcLakk4FrgTNL+zOBH0rqBFZShQK2b5R0DnAT8ARwtO0nASR9FJgPbADMsn1jG7cnIiJ6aFuI2F4CvKpF/Xaq8yM9638HDu6lr68AX2lRv5B813tExJDJJ9YjIqKxhEhERDSWEImIiMYSIhER0VhCJCIiGkuIREREYwmRiIhoLCESERGNJUQiIqKxhEhERDSWEImIiMYSIhER0VhCJCIiGkuIREREYwmRiIhoLCESERGNJUQiIqKxhEhERDSWEImIiMbaFiKStpd0qaSbJN0o6eOlvpWkBZJuLc+jSl2STpPUKWmJpN1rfU0v7W+VNL1W30PS0rLOaZLUru2JiIhna+eeyBPAJ23vBEwCjpa0E3AcsND2BGBhmQfYH5hQHjOA06EKHeB4YC9gT+D47uApbY6qrTeljdsTERE9tC1EbN9t+5oy/VfgZmAsMBWYU5rNAQ4s01OBua4sAkZK2hbYD1hge6XtVcACYEpZtoXtRbYNzK31FRERg2BQzolIGg+8CrgSGGP77rLoHmBMmR4L3FVbbVmp9VVf1qLe6vVnSOqQ1NHV1bVmGxMREU9pe4hI2gz4BXCM7Yfqy8oehNs9BtszbU+0PXH06NHtfrmIiPVGW0NE0kZUAXKW7V+W8r3lUBTleUWpLwe2r60+rtT6qo9rUY+IiEHSzquzBJwJ3Gz7G7VF84DuK6ymA+fV6tPKVVqTgAfLYa/5wGRJo8oJ9cnA/LLsIUmTymtNq/UVERGDYMM29v1a4L3AUknXldrngVOAcyQdCdwJHFKWXQgcAHQCjwJHANheKekkYHFpd6LtlWX6I8BsYARwUXlERMQgaVuI2P490NvnNvZt0d7A0b30NQuY1aLeAeyyBsOMiIg1kE+sR0REYwmRiIhoLCESERGNJUQiIqKxhEhERDSWEImIiMYSIhER0VhCJCIiGkuIREREYwmRiIhoLCESERGNJUQiIqKxhEhERDSWEImIiMYSIhER0VhCJCIiGkuIREREYwmRiIhoLCESERGNtS1EJM2StELSDbXaVpIWSLq1PI8qdUk6TVKnpCWSdq+tM720v1XS9Fp9D0lLyzqnSert+9wjIqJN2rknMhuY0qN2HLDQ9gRgYZkH2B+YUB4zgNOhCh3geGAvYE/g+O7gKW2Oqq3X87UiIqLN2hYiti8HVvYoTwXmlOk5wIG1+lxXFgEjJW0L7AcssL3S9ipgATClLNvC9iLbBubW+oqIiEEy2OdExti+u0zfA4wp02OBu2rtlpVaX/VlLeoRETGIhuzEetmD8GC8lqQZkjokdXR1dQ3GS0ZErBcGO0TuLYeiKM8rSn05sH2t3bhS66s+rkW9JdszbU+0PXH06NFrvBEREVEZ7BCZB3RfYTUdOK9Wn1au0poEPFgOe80HJksaVU6oTwbml2UPSZpUrsqaVusrIiIGyYbt6ljST4B9gG0kLaO6yuoU4BxJRwJ3AoeU5hcCBwCdwKPAEQC2V0o6CVhc2p1ou/tk/UeorgAbAVxUHhERMYjaFiK2D+tl0b4t2ho4upd+ZgGzWtQ7gF3WZIwREbFm8on1iIhoLCESERGNJUQiIqKxhEhERDSWEImIiMYSIhER0VhCJCIiGkuIREREYwmRiIhoLCESERGNJUQiIqKxhEhERDSWEImIiMYSIhER0VhCJCIiGkuIREREYwmRiIhoLCESERGNJUQiIqKxhEhERDQ27ENE0hRJt0jqlHTcUI8nImJ9MqxDRNIGwHeA/YGdgMMk7TS0o4qIWH8M6xAB9gQ6bd9u+x/A2cDUIR5TRMR6Y8OhHsAaGgvcVZtfBuzVs5GkGcCMMvuwpFsGYWzrum2A+4Z6EM8V+tpQjyB6kfdpsYbv0Rf3tmC4h8iA2J4JzBzqcaxLJHXYnjjU44joS96n7TfcD2ctB7avzY8rtYiIGATDPUQWAxMk7SBpY+BQYN4QjykiYr0xrA9n2X5C0keB+cAGwCzbNw7xsNYXOTwYw0Hep20m20M9hoiIGKaG++GsiIgYQgmRiIhoLCEyjEgaL+k9Ddd9eG2Pp/S7j6Tzy/Q71uatZyR9vsf8/+un/cGSbpZ0qaSJkk5bzde7TFIuBx0GJL1P0na1+TP6uluFpB0lXSfpWkkv7e+91GL9EyR9ak3GvK5KiAwv44GWISKpLRdJqDKg94ntebZPWYsv/4wQsf2aftofCRxl+422O2z/x1ocSzy3vA94KkRsf8D2TX20PxD4ue1X2b5tAO+lGKCESJuVvYebJX1f0o2SLpY0oix7qaTfSLpa0hWSdiz12ZIOqvXRvRdxCvD68hfVJ8pfY/MkXQIslLSZpIWSrpG0VFK/t4CRdKykG8rjmNqYb5E0F7iBZ34Wp/uml3+UdA3w77X6+yR9u0wfXPq8XtLlpbazpKvK+JdImlDqvyo/gxvL3QWQdAoworQ9q/5zkLStpMvLshskvV7Sl4DXAWdK+nqPPaQXSJpVXvva7p+LpBGSzi7/PucCIwb8DxtrXfl3uqC8Z26Q9G5JX5K0uMzPLH/UHARMBM4q74ER3XuRkjYovz83lN+BT0g6ADgG+LCkS8trPVx73U+X11gi6cu1+hck/UnS74FXDO5PYxixnUcbH1R7D08Au5X5c4D/VaYXAhPK9F7AJWV6NnBQrY+Hy/M+wPm1+vuobvWyVZnfENiiTG8DdPL0FXgPtxjbHsBS4AXAZsCNwKvKmP8JTGqxzqZUt5qZAKhsz/m18Xy7TC8FxpbpkeX5W8DhZXpjYESZ7h7/CKrQ2rrVmGs/h08CXyjTGwCbl+nLgIk9f1bAV2s/85HAn8o2H0t1WTjAv5V/p4lD/Z5ZXx/Au4Dv1+a37H5vlPkfAm/v+W9dny/v6QW1evd77wTgUy3eS5OpLgMW1R/V5wNvqP1uPB/YovwufWptbu+68sieyOD4s+3ryvTVwHhJmwGvAX4m6Trgf4BtG/S9wPbKMi3gq5KWAL+lurfYmD7WfR1wru1HbD8M/BJ4fVl2p+1FLdbZsWzPra5+C3/US9//F5gt6Siq/+gB/gB8XtJngRfb/lup/4ek64FFVHs9E/rZ5sXAEZJOAF5p+6/9tJ8MHFd+zpdRBeG/UP1n8SMA20uAJf30E+21FHiLpK9Jer3tB4E3SrpS0lLgTcDO/fRxO/ASSd+SNAV4qJ/2k8vjWuAaqvf3BKrfg3NtP2r7IfIh5l4N6w8bDiOP1aafpPqL+3nAA7Z3a9H+ibKccj5i4z76fqQ2fTgwGtjD9uOS7qD6D7OJR/pv0jvbH5K0F/BW4GpJe9j+saQrS+1CSR+k2uN5M7C37UclXdbfmG1fLukNpZ/Zkr5he24fqwh4l+1n3HhTUuPti7XP9p8k7Q4cAJwsaSFwNNUex13lj4b+3hurJO0K7Ad8CDgEeH8fqwj4T9v/84xiObQb/cueyBApf938WdLB8NQJ7F3L4juodqcB3gFsVKb/CmzeR7dbAitKgLyRPu68WVwBHCjp+ZJeALyz1PryR6o9qZeW+cNaNZL0UttX2v4S0AVsL+klwO22TwPOozqEtCWwqgTIjsCkWjePS9qoRd8vBu61/X3gDGD3fsY8H/iYSmpIelWpX065UEHSLmU8MURUXW31qO0fAV/n6X/X+8qe+0G15i1/FyRtAzzP9i+ALzKw98b7S/9IGivphVTvjQPL+ZbNgbevwaat07InMrQOB06X9EWqoDgbuB74PnBeOcTzG57eK1gCPFnqs4FVPfo7C/h12fXvoPoPv1e2r5E0G7iqlM6wfa2k8X2s8/dy8vsCSY9ShU6rYPu6qhPnojr3cz3wWeC9kh4H7qE6V/EI8CFJNwO3UB3S6jYTWCLpGtuH1+r7AJ8u/TwMTOtrO4GTgFNLX88D/gy8DTgd+EF57ZupDjXG0Hkl1fvmn8DjwIeprqq6ger9srjWdjbwPUl/A/au1cdS/Zt2/4H8ub5e0PbFkv4V+EP5G+NhqvNn10j6KdX7dkWP146a3PYkIiIay+GsiIhoLCESERGNJUQiIqKxhEhERDSWEImIiMYSIhFtIulF5d5ct6m6N9iFkl4u6YahHlvE2pLPiUS0Qflg47nAHNuHltqu9H0bmohhJ3siEe3xRuBx29/rLti+nurmlcBTd0u+QtVdl6+R9JpSb3WX4mfdnXbwNyni2bInEtEeu9D/J+BXAG8pdwGYAPyE6k607wHm2/6KpA2o7iS7G9VdkXcBkDSyXQOPWB0JkYihsxHwbUm7Ud2Y8+WlvhiYVe4b9ivb10l66u60wAXAxUMx4Iiecjgroj1u5OmbaPbmE8C9wK5UeyAbQ3WXYqrb1C+nukvxNNurSrvLqO5Oe0Z7hh2xehIiEe1xCbBJuVklAJL+jWd+S+SWwN22/wm8l/K9K63uUtzg7rQRgyKHsyLawLYlvRM4tXwJ19+pbvF/TK3Zd4FfSJrGM+/WvA/Pvkvxat2dNmKw5C6+ERHRWA5nRUREYwmRiIhoLCESERGNJUQiIqKxhEhERDSWEImIiMYSIhER0dj/B99C0LsGQ3fiAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(x=vc.index, height=vc.values)\n",
    "plt.title(\"Class Distribution\")\n",
    "plt.xlabel(\"Class\")\n",
    "plt.ylabel(\"Count\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>id</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Customer Type</th>\n",
       "      <th>Age</th>\n",
       "      <th>Type of Travel</th>\n",
       "      <th>Class</th>\n",
       "      <th>Flight Distance</th>\n",
       "      <th>Inflight wifi service</th>\n",
       "      <th>Departure/Arrival time convenient</th>\n",
       "      <th>...</th>\n",
       "      <th>Inflight entertainment</th>\n",
       "      <th>On-board service</th>\n",
       "      <th>Leg room service</th>\n",
       "      <th>Baggage handling</th>\n",
       "      <th>Checkin service</th>\n",
       "      <th>Inflight service</th>\n",
       "      <th>Cleanliness</th>\n",
       "      <th>Departure Delay in Minutes</th>\n",
       "      <th>Arrival Delay in Minutes</th>\n",
       "      <th>satisfaction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>19556</td>\n",
       "      <td>Female</td>\n",
       "      <td>Loyal Customer</td>\n",
       "      <td>52</td>\n",
       "      <td>Business travel</td>\n",
       "      <td>Eco</td>\n",
       "      <td>160</td>\n",
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       "      <td>4</td>\n",
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       "      <td>5</td>\n",
       "      <td>5</td>\n",
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       "      <td>5</td>\n",
       "      <td>50</td>\n",
       "      <td>44.0</td>\n",
       "      <td>satisfied</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>90035</td>\n",
       "      <td>Female</td>\n",
       "      <td>Loyal Customer</td>\n",
       "      <td>36</td>\n",
       "      <td>Business travel</td>\n",
       "      <td>Business</td>\n",
       "      <td>2863</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
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       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>satisfied</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>12360</td>\n",
       "      <td>Male</td>\n",
       "      <td>disloyal Customer</td>\n",
       "      <td>20</td>\n",
       "      <td>Business travel</td>\n",
       "      <td>Eco</td>\n",
       "      <td>192</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
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       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>neutral or dissatisfied</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>77959</td>\n",
       "      <td>Male</td>\n",
       "      <td>Loyal Customer</td>\n",
       "      <td>44</td>\n",
       "      <td>Business travel</td>\n",
       "      <td>Business</td>\n",
       "      <td>3377</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>satisfied</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>36875</td>\n",
       "      <td>Female</td>\n",
       "      <td>Loyal Customer</td>\n",
       "      <td>49</td>\n",
       "      <td>Business travel</td>\n",
       "      <td>Eco</td>\n",
       "      <td>1182</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>satisfied</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0     id  Gender      Customer Type  Age   Type of Travel  \\\n",
       "0           0  19556  Female     Loyal Customer   52  Business travel   \n",
       "1           1  90035  Female     Loyal Customer   36  Business travel   \n",
       "2           2  12360    Male  disloyal Customer   20  Business travel   \n",
       "3           3  77959    Male     Loyal Customer   44  Business travel   \n",
       "4           4  36875  Female     Loyal Customer   49  Business travel   \n",
       "\n",
       "      Class  Flight Distance  Inflight wifi service  \\\n",
       "0       Eco              160                      5   \n",
       "1  Business             2863                      1   \n",
       "2       Eco              192                      2   \n",
       "3  Business             3377                      0   \n",
       "4       Eco             1182                      2   \n",
       "\n",
       "   Departure/Arrival time convenient  ...  Inflight entertainment  \\\n",
       "0                                  4  ...                       5   \n",
       "1                                  1  ...                       4   \n",
       "2                                  0  ...                       2   \n",
       "3                                  0  ...                       1   \n",
       "4                                  3  ...                       2   \n",
       "\n",
       "   On-board service  Leg room service  Baggage handling  Checkin service  \\\n",
       "0                 5                 5                 5                2   \n",
       "1                 4                 4                 4                3   \n",
       "2                 4                 1                 3                2   \n",
       "3                 1                 1                 1                3   \n",
       "4                 2                 2                 2                4   \n",
       "\n",
       "   Inflight service  Cleanliness  Departure Delay in Minutes  \\\n",
       "0                 5            5                          50   \n",
       "1                 4            5                           0   \n",
       "2                 2            2                           0   \n",
       "3                 1            4                           0   \n",
       "4                 2            4                           0   \n",
       "\n",
       "   Arrival Delay in Minutes             satisfaction  \n",
       "0                      44.0                satisfied  \n",
       "1                       0.0                satisfied  \n",
       "2                       0.0  neutral or dissatisfied  \n",
       "3                       6.0                satisfied  \n",
       "4                      20.0                satisfied  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Gender'] = df['Gender'].astype(str)\n",
    "df['Customer Type'] = df['Customer Type'].astype(str)\n",
    "df['Type of Travel'] = df['Type of Travel'].astype(str)\n",
    "df['Class'] = df['Class'].astype(str)\n",
    "df['satisfaction'] = df['satisfaction'].astype(str)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>0</td>\n",
       "      <td>neutral or dissatisfied</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Male</td>\n",
       "      <td>Loyal Customer</td>\n",
       "      <td>44</td>\n",
       "      <td>Business travel</td>\n",
       "      <td>Business</td>\n",
       "      <td>3377</td>\n",
       "      <td>0</td>\n",
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       "      <td>satisfied</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Female</td>\n",
       "      <td>Loyal Customer</td>\n",
       "      <td>49</td>\n",
       "      <td>Business travel</td>\n",
       "      <td>Eco</td>\n",
       "      <td>1182</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
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       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>satisfied</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Gender      Customer Type  Age   Type of Travel     Class  Flight Distance  \\\n",
       "0  Female     Loyal Customer   52  Business travel       Eco              160   \n",
       "1  Female     Loyal Customer   36  Business travel  Business             2863   \n",
       "2    Male  disloyal Customer   20  Business travel       Eco              192   \n",
       "3    Male     Loyal Customer   44  Business travel  Business             3377   \n",
       "4  Female     Loyal Customer   49  Business travel       Eco             1182   \n",
       "\n",
       "   Inflight wifi service  Departure/Arrival time convenient  \\\n",
       "0                      5                                  4   \n",
       "1                      1                                  1   \n",
       "2                      2                                  0   \n",
       "3                      0                                  0   \n",
       "4                      2                                  3   \n",
       "\n",
       "   Ease of Online booking  Gate location  ...  Seat comfort  \\\n",
       "0                       3              4  ...             3   \n",
       "1                       3              1  ...             5   \n",
       "2                       2              4  ...             2   \n",
       "3                       0              2  ...             4   \n",
       "4                       4              3  ...             2   \n",
       "\n",
       "   Inflight entertainment  On-board service  Leg room service  \\\n",
       "0                       5                 5                 5   \n",
       "1                       4                 4                 4   \n",
       "2                       2                 4                 1   \n",
       "3                       1                 1                 1   \n",
       "4                       2                 2                 2   \n",
       "\n",
       "   Baggage handling  Checkin service  Inflight service  Cleanliness  \\\n",
       "0                 5                2                 5            5   \n",
       "1                 4                3                 4            5   \n",
       "2                 3                2                 2            2   \n",
       "3                 1                3                 1            4   \n",
       "4                 2                4                 2            4   \n",
       "\n",
       "   Departure Delay in Minutes             satisfaction  \n",
       "0                          50                satisfied  \n",
       "1                           0                satisfied  \n",
       "2                           0  neutral or dissatisfied  \n",
       "3                           0                satisfied  \n",
       "4                           0                satisfied  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#load dataset\n",
    "from sklearn.model_selection import train_test_split\n",
    "df = df.drop(columns=['Arrival Delay in Minutes'])\n",
    "df = df.drop(columns=['id'])\n",
    "df = df.drop(columns=['Unnamed: 0'])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "cat_features = ['Gender', 'Customer Type', 'Type of Travel', 'Class']\n",
    "from sklearn.preprocessing import OrdinalEncoder\n",
    "\n",
    "encoder = OrdinalEncoder()\n",
    "encoder.fit(df[cat_features])\n",
    "encoded_features = encoder.transform(df[cat_features])\n",
    "df[cat_features] = encoded_features\n",
    "df.head()\n",
    "\n",
    "X = df.drop(columns=['satisfaction'])\n",
    "y = df['satisfaction']\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, stratify=y, test_size=0.25) \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "# Normalize dataset\n",
    "features = ['Gender', 'Customer Type', 'Age', 'Type of Travel', 'Class',\n",
    "       'Flight Distance', 'Inflight wifi service',\n",
    "       'Departure/Arrival time convenient', 'Ease of Online booking',\n",
    "       'Gate location', 'Food and drink', 'Online boarding', 'Seat comfort',\n",
    "       'Inflight entertainment', 'On-board service', 'Leg room service',\n",
    "       'Baggage handling', 'Checkin service', 'Inflight service',\n",
    "       'Cleanliness', 'Departure Delay in Minutes']\n",
    "target = ['satisfaction']\n",
    "\n",
    "# Split into test/train\n",
    "X_train = X_train[features]\n",
    "X_test = X_test[features]\n",
    "\n",
    "# Normalize using StandardScaler\n",
    "scaler = StandardScaler()\n",
    "X_train = scaler.fit_transform(X_train)\n",
    "X_test = scaler.transform(X_test)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Create the plot\n",
    "plt.figure(figsize=(20, 10)) # adjust the figure size\n",
    "sns.heatmap(X.corr(), annot=True, cmap='coolwarm', fmt='.2f', annot_kws={\"size\": 12}) # adjust the color map and font size\n",
    "\n",
    "# Add a title\n",
    "plt.title('Correlation Heatmap', fontsize=16)\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_train = y_train.replace(\"satisfied\",1) \n",
    "y_train = y_train.replace(\"neutral or dissatisfied\",0)\n",
    "y_test = y_test.replace(\"satisfied\",1) \n",
    "y_test = y_test.replace(\"neutral or dissatisfied\",0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Use Logistic Regression and Random Forest Models & Do Grid Search"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>GridSearchCV(cv=5, estimator=RandomForestClassifier(), n_jobs=-1,\n",
       "             param_grid={&#x27;max_depth&#x27;: [None, 10, 50],\n",
       "                         &#x27;max_features&#x27;: [&#x27;sqrt&#x27;, &#x27;log2&#x27;, None],\n",
       "                         &#x27;n_estimators&#x27;: [20, 50, 100]},\n",
       "             scoring=&#x27;f1&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" ><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">GridSearchCV</label><div class=\"sk-toggleable__content\"><pre>GridSearchCV(cv=5, estimator=RandomForestClassifier(), n_jobs=-1,\n",
       "             param_grid={&#x27;max_depth&#x27;: [None, 10, 50],\n",
       "                         &#x27;max_features&#x27;: [&#x27;sqrt&#x27;, &#x27;log2&#x27;, None],\n",
       "                         &#x27;n_estimators&#x27;: [20, 50, 100]},\n",
       "             scoring=&#x27;f1&#x27;)</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" ><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">estimator: RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier()</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" ><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier()</pre></div></div></div></div></div></div></div></div></div></div>"
      ],
      "text/plain": [
       "GridSearchCV(cv=5, estimator=RandomForestClassifier(), n_jobs=-1,\n",
       "             param_grid={'max_depth': [None, 10, 50],\n",
       "                         'max_features': ['sqrt', 'log2', None],\n",
       "                         'n_estimators': [20, 50, 100]},\n",
       "             scoring='f1')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn.metrics import f1_score\n",
    "import numpy as np\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "\n",
    "log_reg_model = LogisticRegression()\n",
    "rf_model = RandomForestClassifier()\n",
    "\n",
    "log_reg_params = {\n",
    "    \"tol\": [1e-5, 1e-4, 1e-3,1e-2],\n",
    "    \"C\": np.logspace(-5, 5, 10),\n",
    "    \"class_weight\":[None, \"balanced\"]\n",
    "}\n",
    "\n",
    "rf_params = {\n",
    "    \"n_estimators\": [20, 50, 100],\n",
    "    \"max_depth\": [None, 10, 50],\n",
    "    \"max_features\": [\"sqrt\", \"log2\", None],\n",
    "}\n",
    "\n",
    "log_reg_grid = GridSearchCV(log_reg_model, log_reg_params, cv=5, scoring=\"f1\",n_jobs=-1)\n",
    "log_reg_grid.fit(X_train, y_train)\n",
    "\n",
    "\n",
    "rf_grid = GridSearchCV(rf_model, rf_params, cv=5, scoring=\"f1\",n_jobs=-1)\n",
    "rf_grid.fit(X_train, y_train)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Get Best Parameters of Our Models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best parameters for logistic regression: {'C': 0.021544346900318846, 'class_weight': None, 'tol': 1e-05}\n"
     ]
    }
   ],
   "source": [
    "print(\"best parameters for logistic regression:\",log_reg_grid.best_params_)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best parameters for random forest classifier: {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 100}\n"
     ]
    }
   ],
   "source": [
    "print(\"best parameters for random forest classifier:\",rf_grid.best_params_)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.021544346900318846"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "log_reg_grid.best_params_[\"C\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "best_log_model = LogisticRegression(C=log_reg_grid.best_params_[\"C\"], class_weight=log_reg_grid.best_params_[\"class_weight\"], tol=log_reg_grid.best_params_[\"tol\"])\n",
    "best_rf_model = RandomForestClassifier(max_depth=rf_grid.best_params_[\"max_depth\"], max_features=rf_grid.best_params_[\"max_features\"], n_estimators=rf_grid.best_params_[\"n_estimators\"])\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# F1 Score on Test Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "f1 score on test data for logistic regression 0.8500453309156845\n"
     ]
    }
   ],
   "source": [
    "print(\"f1 score on test data for logistic regression\", f1_score(y_test,best_log_model.fit(X_train,y_train).predict(X_test)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "f1 score on test data for random forest 0.9562859312289836\n"
     ]
    }
   ],
   "source": [
    "print(\"f1 score on test data for random forest\" ,f1_score(y_test,best_rf_model.fit(X_train,y_train).predict(X_test)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### RF model has higher F1 score on test data."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cross Validation Scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "log_scores = cross_val_score(best_log_model,X_train, y_train,cv=5,scoring=\"f1\",n_jobs=-1)\n",
    "rf_scores = cross_val_score(best_rf_model,X_train,y_train,cv=5, scoring=\"f1\",n_jobs=-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cv score on test data for logistic regression:  0.8531602661616636\n"
     ]
    }
   ],
   "source": [
    "print(\"cv score on test data for logistic regression: \",log_scores.mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cv score on test data for random forest:  0.9564546148288\n"
     ]
    }
   ],
   "source": [
    "print(\"cv score on test data for random forest: \",rf_scores.mean())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Based on the f1 scores and cv scores, we will use the random forest model with optimal parameters."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Random Forest Model Evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('Gender', 0.004677737741699339),\n",
       " ('Food and drink', 0.011543674109668438),\n",
       " ('Departure Delay in Minutes', 0.013389444848154481),\n",
       " ('Gate location', 0.018838067437353723),\n",
       " ('Departure/Arrival time convenient', 0.019392505186075795),\n",
       " ('Cleanliness', 0.024203021106826515),\n",
       " ('Inflight service', 0.024219059690562646),\n",
       " ('Baggage handling', 0.024947253481061166),\n",
       " ('Checkin service', 0.02565302868678002),\n",
       " ('On-board service', 0.03139563267817728),\n",
       " ('Age', 0.03182813891329648),\n",
       " ('Customer Type', 0.0331912177776509),\n",
       " ('Leg room service', 0.0369800566595642),\n",
       " ('Ease of Online booking', 0.040529593133801355),\n",
       " ('Flight Distance', 0.04685116247651121),\n",
       " ('Seat comfort', 0.04755821955174579),\n",
       " ('Inflight entertainment', 0.055478857340008264),\n",
       " ('Type of Travel', 0.08702123363145106),\n",
       " ('Class', 0.09904365704845912),\n",
       " ('Inflight wifi service', 0.14992186275378724),\n",
       " ('Online boarding', 0.17333657574736505)]"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp = []\n",
    "for i in zip(features, best_rf_model.feature_importances_):\n",
    "    temp.append(i)\n",
    "temp = sorted(temp,key=lambda x:x[1],reverse=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Feature Name')"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.barh([i[0] for i in temp],[i[1] for i in temp])\n",
    "plt.title(\"Feature Importances\")\n",
    "plt.xlabel(\"Importance\")\n",
    "plt.ylabel(\"Feature Name\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### From the above plot, we see that \"Online Boarding\" is the most important factor in determining the satisfaction level of customers, and \"Inflihg wifi service\" is the second most important. The third most important factor is \"Class\". The result here makes sense since these services are important for passenger's experience on board in common sense. The least immportant factor is Gender, which also makes sense because gender naturally does not play a crucial role in the scenario here."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  },
  "vscode": {
   "interpreter": {
    "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}