Feature_Selection_with_Chi2method.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "03bc2180",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "from sklearn.feature_selection import chi2\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "01ac29ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customerID</th>\n",
       "      <th>gender</th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>Partner</th>\n",
       "      <th>Dependents</th>\n",
       "      <th>tenure</th>\n",
       "      <th>PhoneService</th>\n",
       "      <th>MultipleLines</th>\n",
       "      <th>InternetService</th>\n",
       "      <th>OnlineSecurity</th>\n",
       "      <th>...</th>\n",
       "      <th>DeviceProtection</th>\n",
       "      <th>TechSupport</th>\n",
       "      <th>StreamingTV</th>\n",
       "      <th>StreamingMovies</th>\n",
       "      <th>Contract</th>\n",
       "      <th>PaperlessBilling</th>\n",
       "      <th>PaymentMethod</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>TotalCharges</th>\n",
       "      <th>Churn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7590-VHVEG</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>29.85</td>\n",
       "      <td>29.85</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5575-GNVDE</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>34</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>56.95</td>\n",
       "      <td>1889.5</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3668-QPYBK</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>53.85</td>\n",
       "      <td>108.15</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7795-CFOCW</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>45</td>\n",
       "      <td>No</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>42.30</td>\n",
       "      <td>1840.75</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9237-HQITU</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>70.70</td>\n",
       "      <td>151.65</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   customerID  gender  SeniorCitizen Partner Dependents  tenure PhoneService  \\\n",
       "0  7590-VHVEG  Female              0     Yes         No       1           No   \n",
       "1  5575-GNVDE    Male              0      No         No      34          Yes   \n",
       "2  3668-QPYBK    Male              0      No         No       2          Yes   \n",
       "3  7795-CFOCW    Male              0      No         No      45           No   \n",
       "4  9237-HQITU  Female              0      No         No       2          Yes   \n",
       "\n",
       "      MultipleLines InternetService OnlineSecurity  ... DeviceProtection  \\\n",
       "0  No phone service             DSL             No  ...               No   \n",
       "1                No             DSL            Yes  ...              Yes   \n",
       "2                No             DSL            Yes  ...               No   \n",
       "3  No phone service             DSL            Yes  ...              Yes   \n",
       "4                No     Fiber optic             No  ...               No   \n",
       "\n",
       "  TechSupport StreamingTV StreamingMovies        Contract PaperlessBilling  \\\n",
       "0          No          No              No  Month-to-month              Yes   \n",
       "1          No          No              No        One year               No   \n",
       "2          No          No              No  Month-to-month              Yes   \n",
       "3         Yes          No              No        One year               No   \n",
       "4          No          No              No  Month-to-month              Yes   \n",
       "\n",
       "               PaymentMethod MonthlyCharges  TotalCharges Churn  \n",
       "0           Electronic check          29.85         29.85    No  \n",
       "1               Mailed check          56.95        1889.5    No  \n",
       "2               Mailed check          53.85        108.15   Yes  \n",
       "3  Bank transfer (automatic)          42.30       1840.75    No  \n",
       "4           Electronic check          70.70        151.65   Yes  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(r\"C:\\Users\\singh\\Downloads\\Telco_data_chi2_test.csv\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "922f8736",
   "metadata": {},
   "outputs": [
    {
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       "      <th>Dependents</th>\n",
       "      <th>PhoneService</th>\n",
       "      <th>MultipleLines</th>\n",
       "      <th>InternetService</th>\n",
       "      <th>OnlineSecurity</th>\n",
       "      <th>OnlineBackup</th>\n",
       "      <th>DeviceProtection</th>\n",
       "      <th>TechSupport</th>\n",
       "      <th>StreamingTV</th>\n",
       "      <th>StreamingMovies</th>\n",
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       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
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       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
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      ],
      "text/plain": [
       "   gender Partner Dependents PhoneService     MultipleLines InternetService  \\\n",
       "0  Female     Yes         No           No  No phone service             DSL   \n",
       "1    Male      No         No          Yes                No             DSL   \n",
       "2    Male      No         No          Yes                No             DSL   \n",
       "3    Male      No         No           No  No phone service             DSL   \n",
       "4  Female      No         No          Yes                No     Fiber optic   \n",
       "\n",
       "  OnlineSecurity OnlineBackup DeviceProtection TechSupport StreamingTV  \\\n",
       "0             No          Yes               No          No          No   \n",
       "1            Yes           No              Yes          No          No   \n",
       "2            Yes          Yes               No          No          No   \n",
       "3            Yes           No              Yes         Yes          No   \n",
       "4             No           No               No          No          No   \n",
       "\n",
       "  StreamingMovies        Contract PaperlessBilling              PaymentMethod  \\\n",
       "0              No  Month-to-month              Yes           Electronic check   \n",
       "1              No        One year               No               Mailed check   \n",
       "2              No  Month-to-month              Yes               Mailed check   \n",
       "3              No        One year               No  Bank transfer (automatic)   \n",
       "4              No  Month-to-month              Yes           Electronic check   \n",
       "\n",
       "  Churn  \n",
       "0    No  \n",
       "1    No  \n",
       "2   Yes  \n",
       "3    No  \n",
       "4   Yes  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat_features = df.select_dtypes(include='object').drop(['customerID','TotalCharges'],axis=1)\n",
    "cat_features.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "9a7b399d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "gender              0\n",
       "Partner             0\n",
       "Dependents          0\n",
       "PhoneService        0\n",
       "MultipleLines       0\n",
       "InternetService     0\n",
       "OnlineSecurity      0\n",
       "OnlineBackup        0\n",
       "DeviceProtection    0\n",
       "TechSupport         0\n",
       "StreamingTV         0\n",
       "StreamingMovies     0\n",
       "Contract            0\n",
       "PaperlessBilling    0\n",
       "PaymentMethod       0\n",
       "Churn               0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat_features.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0afcbdb6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "gender              2\n",
       "Partner             2\n",
       "Dependents          2\n",
       "PhoneService        2\n",
       "MultipleLines       3\n",
       "InternetService     3\n",
       "OnlineSecurity      3\n",
       "OnlineBackup        3\n",
       "DeviceProtection    3\n",
       "TechSupport         3\n",
       "StreamingTV         3\n",
       "StreamingMovies     3\n",
       "Contract            3\n",
       "PaperlessBilling    2\n",
       "PaymentMethod       4\n",
       "Churn               2\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat_features.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6933987a",
   "metadata": {},
   "outputs": [],
   "source": [
    "le = LabelEncoder()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "eb54f6cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "encoded = pd.DataFrame()\n",
    "\n",
    "for col in cat_features.columns:\n",
    "    encoded[col] = le.fit_transform(cat_features[col])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "032855fb",
   "metadata": {},
   "outputs": [
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       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   gender  Partner  Dependents  PhoneService  MultipleLines  InternetService  \\\n",
       "0       0        1           0             0              1                0   \n",
       "1       1        0           0             1              0                0   \n",
       "2       1        0           0             1              0                0   \n",
       "3       1        0           0             0              1                0   \n",
       "4       0        0           0             1              0                1   \n",
       "\n",
       "   OnlineSecurity  OnlineBackup  DeviceProtection  TechSupport  StreamingTV  \\\n",
       "0               0             2                 0            0            0   \n",
       "1               2             0                 2            0            0   \n",
       "2               2             2                 0            0            0   \n",
       "3               2             0                 2            2            0   \n",
       "4               0             0                 0            0            0   \n",
       "\n",
       "   StreamingMovies  Contract  PaperlessBilling  PaymentMethod  Churn  \n",
       "0                0         0                 1              2      0  \n",
       "1                0         1                 0              3      0  \n",
       "2                0         0                 1              3      1  \n",
       "3                0         1                 0              0      0  \n",
       "4                0         0                 1              2      1  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "encoded.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c5efebf7",
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train,x_test,y_train,y_test = train_test_split(encoded.drop('Churn',axis=1),encoded['Churn'],test_size=0.2,random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "4461c9e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([3.77925056e-01, 5.87758437e+01, 1.04146764e+02, 4.35910766e-02,\n",
       "        6.52385932e+00, 7.81362845e+00, 4.39328373e+02, 1.77543358e+02,\n",
       "        1.44973153e+02, 4.07908476e+02, 6.42677774e+00, 4.75256833e+00,\n",
       "        8.73211647e+02, 8.45203670e+01, 4.15813286e+01]),\n",
       " array([5.38715808e-001, 1.76697343e-014, 1.87871287e-024, 8.34616268e-001,\n",
       "        1.06436789e-002, 5.18536866e-003, 1.51571805e-097, 1.66657536e-040,\n",
       "        2.17685970e-033, 1.04568357e-090, 1.12412336e-002, 2.92545998e-002,\n",
       "        6.53708979e-192, 3.80277240e-020, 1.13067986e-010]))"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chi_score = chi2(x_train,y_train)\n",
    "chi_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "2a66e531",
   "metadata": {},
   "outputs": [],
   "source": [
    "chi2_score_series = pd.Series(chi_score[0],index=x_train.columns).sort_values(ascending=False)\n",
    "p_value_series = pd.Series(chi_score[1],index=x_train.columns).sort_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "7484a726",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Contract            873.211647\n",
       "OnlineSecurity      439.328373\n",
       "TechSupport         407.908476\n",
       "OnlineBackup        177.543358\n",
       "DeviceProtection    144.973153\n",
       "Dependents          104.146764\n",
       "PaperlessBilling     84.520367\n",
       "Partner              58.775844\n",
       "PaymentMethod        41.581329\n",
       "InternetService       7.813628\n",
       "MultipleLines         6.523859\n",
       "StreamingTV           6.426778\n",
       "StreamingMovies       4.752568\n",
       "gender                0.377925\n",
       "PhoneService          0.043591\n",
       "dtype: float64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chi2_score_series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "cedf44f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,5))\n",
    "plt.xticks(rotation=90)\n",
    "\n",
    "sns.histplot(x=chi2_score_series.index,y=chi2_score_series.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "5b080e7b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,5))\n",
    "plt.xticks(rotation=90)\n",
    "\n",
    "sns.histplot(x=p_value_series.index,y=p_value_series.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "40e67d28",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}