diff --git a/Airlinepassengerreferral_predicton__1_.ipynb b/Airlinepassengerreferral_predicton__1_.ipynb
deleted file mode 100644
index 187d0c57ec2f354790941fdd1e6e0c0c0893d8a4..0000000000000000000000000000000000000000
--- a/Airlinepassengerreferral_predicton__1_.ipynb
+++ /dev/null
@@ -1,3757 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "gulDF-QEA7F6"
- },
- "source": [
- "## **IMPORTING THE NECESSARY LIBRARIES**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 115,
- "metadata": {
- "id": "xI1O-udM7sJj"
- },
- "outputs": [],
- "source": [
- "import numpy as np\n",
- "import pandas as pd\n",
- "import matplotlib.pyplot as plt\n",
- "import seaborn as sns\n",
- "import math\n",
- "import scipy.stats as stat\n",
- "from datetime import *\n",
- "from statsmodels.stats.outliers_influence import variance_inflation_factor\n",
- "import plotly.express as px\n",
- "\n",
- "from sklearn.model_selection import train_test_split, GridSearchCV, cross_val_score\n",
- "from sklearn.linear_model import LogisticRegression\n",
- "from sklearn.ensemble import RandomForestClassifier\n",
- "from sklearn.tree import DecisionTreeClassifier\n",
- "from sklearn.neighbors import KNeighborsClassifier\n",
- "from sklearn.metrics import *\n",
- "from sklearn.preprocessing import MinMaxScaler\n",
- "from sklearn.svm import SVC\n",
- "\n",
- "import warnings\n",
- "warnings.filterwarnings(action='ignore')"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "aRxkrjSfBmGs"
- },
- "source": [
- "## **IMPORTING THE DATASET**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 232,
- "metadata": {
- "id": "5O2Is-Q772Lh"
- },
- "outputs": [],
- "source": [
- "df = pd.read_excel('airline.xlsx')"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "OXkQ1bu4Bsfp"
- },
- "source": [
- "## **DATA EXPLORATION**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 233,
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/",
- "height": 340
- },
- "id": "jKWLjtU_8pRD",
- "outputId": "1de56f79-b8d0-4768-fd9b-833328ac5141"
- },
- "outputs": [
- {
- "data": {
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- "<div>\n",
- "<style scoped>\n",
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- " vertical-align: middle;\n",
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- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>airline</th>\n",
- " <th>overall</th>\n",
- " <th>author</th>\n",
- " <th>review_date</th>\n",
- " <th>customer_review</th>\n",
- " <th>aircraft</th>\n",
- " <th>traveller_type</th>\n",
- " <th>cabin</th>\n",
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- " <th>date_flown</th>\n",
- " <th>seat_comfort</th>\n",
- " <th>cabin_service</th>\n",
- " <th>food_bev</th>\n",
- " <th>entertainment</th>\n",
- " <th>ground_service</th>\n",
- " <th>value_for_money</th>\n",
- " <th>recommended</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>Turkish Airlines</td>\n",
- " <td>7.0</td>\n",
- " <td>Christopher Hackley</td>\n",
- " <td>8th May 2019</td>\n",
- " <td>✅ Trip Verified | London to Izmir via Istanb...</td>\n",
- " <td>NaN</td>\n",
- " <td>Business</td>\n",
- " <td>Economy Class</td>\n",
- " <td>London to Izmir via Istanbul</td>\n",
- " <td>2019-05-01 00:00:00</td>\n",
- " <td>4.0</td>\n",
- " <td>5.0</td>\n",
- " <td>4.0</td>\n",
- " <td>4.0</td>\n",
- " <td>2.0</td>\n",
- " <td>4.0</td>\n",
- " <td>yes</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>Turkish Airlines</td>\n",
- " <td>2.0</td>\n",
- " <td>Adriana Pisoi</td>\n",
- " <td>7th May 2019</td>\n",
- " <td>✅ Trip Verified | Istanbul to Bucharest. We ...</td>\n",
- " <td>NaN</td>\n",
- " <td>Family Leisure</td>\n",
- " <td>Economy Class</td>\n",
- " <td>Istanbul to Bucharest</td>\n",
- " <td>2019-05-01 00:00:00</td>\n",
- " <td>4.0</td>\n",
- " <td>1.0</td>\n",
- " <td>1.0</td>\n",
- " <td>1.0</td>\n",
- " <td>1.0</td>\n",
- " <td>1.0</td>\n",
- " <td>no</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " airline overall author review_date \\\n",
- "0 NaN NaN NaN NaN \n",
- "1 Turkish Airlines 7.0 Christopher Hackley 8th May 2019 \n",
- "2 NaN NaN NaN NaN \n",
- "3 Turkish Airlines 2.0 Adriana Pisoi 7th May 2019 \n",
- "4 NaN NaN NaN NaN \n",
- "\n",
- " customer_review aircraft traveller_type \\\n",
- "0 NaN NaN NaN \n",
- "1 ✅ Trip Verified | London to Izmir via Istanb... NaN Business \n",
- "2 NaN NaN NaN \n",
- "3 ✅ Trip Verified | Istanbul to Bucharest. We ... NaN Family Leisure \n",
- "4 NaN NaN NaN \n",
- "\n",
- " cabin route date_flown \\\n",
- "0 NaN NaN NaN \n",
- "1 Economy Class London to Izmir via Istanbul 2019-05-01 00:00:00 \n",
- "2 NaN NaN NaN \n",
- "3 Economy Class Istanbul to Bucharest 2019-05-01 00:00:00 \n",
- "4 NaN NaN NaN \n",
- "\n",
- " seat_comfort cabin_service food_bev entertainment ground_service \\\n",
- "0 NaN NaN NaN NaN NaN \n",
- "1 4.0 5.0 4.0 4.0 2.0 \n",
- "2 NaN NaN NaN NaN NaN \n",
- "3 4.0 1.0 1.0 1.0 1.0 \n",
- "4 NaN NaN NaN NaN NaN \n",
- "\n",
- " value_for_money recommended \n",
- "0 NaN NaN \n",
- "1 4.0 yes \n",
- "2 NaN NaN \n",
- "3 1.0 no \n",
- "4 NaN NaN "
- ]
- },
- "execution_count": 233,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "df.head()"
- ]
- },
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- "execution_count": 234,
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- "base_uri": "https://localhost:8080/",
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- "id": "YH92SkPMQd0X",
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- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>airline</th>\n",
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- " <td>Ukraine International</td>\n",
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- " <td>no</td>\n",
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- " <th>131891</th>\n",
- " <td>NaN</td>\n",
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- " <td>NaN</td>\n",
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- " <td>Ukraine International</td>\n",
- " <td>NaN</td>\n",
- " <td>Volodya Bilotkach</td>\n",
- " <td>29th April 2006</td>\n",
- " <td>Several flights - KBP to AMS (3 times one way)...</td>\n",
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- " <th>131894</th>\n",
- " <td>Ukraine International</td>\n",
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- " <td>Kasper Hettinga</td>\n",
- " <td>10th February 2006</td>\n",
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- " airline overall author review_date \\\n",
- "131890 Ukraine International NaN Andriy Yesypenko 19th May 2006 \n",
- "131891 NaN NaN NaN NaN \n",
- "131892 Ukraine International NaN Volodya Bilotkach 29th April 2006 \n",
- "131893 NaN NaN NaN NaN \n",
- "131894 Ukraine International NaN Kasper Hettinga 10th February 2006 \n",
- "\n",
- " customer_review aircraft \\\n",
- "131890 Kiev - London (Gatwick) in business class (in ... NaN \n",
- "131891 NaN NaN \n",
- "131892 Several flights - KBP to AMS (3 times one way)... NaN \n",
- "131893 NaN NaN \n",
- "131894 KBP-AMS with UIA. Although it was a relatively... NaN \n",
- "\n",
- " traveller_type cabin route date_flown seat_comfort cabin_service \\\n",
- "131890 NaN NaN NaN NaN NaN NaN \n",
- "131891 NaN NaN NaN NaN NaN NaN \n",
- "131892 NaN NaN NaN NaN NaN NaN \n",
- "131893 NaN NaN NaN NaN NaN NaN \n",
- "131894 NaN NaN NaN NaN NaN NaN \n",
- "\n",
- " food_bev entertainment ground_service value_for_money recommended \n",
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- "131892 NaN NaN NaN NaN no \n",
- "131893 NaN NaN NaN NaN NaN \n",
- "131894 NaN NaN NaN NaN no "
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- "Index(['airline', 'overall', 'author', 'review_date', 'customer_review',\n",
- " 'aircraft', 'traveller_type', 'cabin', 'route', 'date_flown',\n",
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- "<class 'pandas.core.frame.DataFrame'>\n",
- "RangeIndex: 131895 entries, 0 to 131894\n",
- "Data columns (total 17 columns):\n",
- " # Column Non-Null Count Dtype \n",
- "--- ------ -------------- ----- \n",
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- " 11 cabin_service 60715 non-null float64\n",
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- "dtypes: float64(7), object(10)\n",
- "memory usage: 17.1+ MB\n"
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- " <tr>\n",
- " <th>mean</th>\n",
- " <td>5.145430</td>\n",
- " <td>2.952160</td>\n",
- " <td>3.191814</td>\n",
- " <td>2.908170</td>\n",
- " <td>2.863372</td>\n",
- " <td>2.692820</td>\n",
- " <td>2.943962</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>std</th>\n",
- " <td>3.477532</td>\n",
- " <td>1.441362</td>\n",
- " <td>1.565789</td>\n",
- " <td>1.481893</td>\n",
- " <td>1.507262</td>\n",
- " <td>1.612215</td>\n",
- " <td>1.587370</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>min</th>\n",
- " <td>1.000000</td>\n",
- " <td>1.000000</td>\n",
- " <td>1.000000</td>\n",
- " <td>1.000000</td>\n",
- " <td>1.000000</td>\n",
- " <td>1.000000</td>\n",
- " <td>1.000000</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25%</th>\n",
- " <td>1.000000</td>\n",
- " <td>1.000000</td>\n",
- " <td>2.000000</td>\n",
- " <td>1.000000</td>\n",
- " <td>1.000000</td>\n",
- " <td>1.000000</td>\n",
- " <td>1.000000</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50%</th>\n",
- " <td>5.000000</td>\n",
- " <td>3.000000</td>\n",
- " <td>3.000000</td>\n",
- " <td>3.000000</td>\n",
- " <td>3.000000</td>\n",
- " <td>3.000000</td>\n",
- " <td>3.000000</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>75%</th>\n",
- " <td>9.000000</td>\n",
- " <td>4.000000</td>\n",
- " <td>5.000000</td>\n",
- " <td>4.000000</td>\n",
- " <td>4.000000</td>\n",
- " <td>4.000000</td>\n",
- " <td>4.000000</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>max</th>\n",
- " <td>10.000000</td>\n",
- " <td>5.000000</td>\n",
- " <td>5.000000</td>\n",
- " <td>5.000000</td>\n",
- " <td>5.000000</td>\n",
- " <td>5.000000</td>\n",
- " <td>5.000000</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " overall seat_comfort cabin_service food_bev entertainment \\\n",
- "count 64017.000000 60681.000000 60715.000000 52608.000000 44193.000000 \n",
- "mean 5.145430 2.952160 3.191814 2.908170 2.863372 \n",
- "std 3.477532 1.441362 1.565789 1.481893 1.507262 \n",
- "min 1.000000 1.000000 1.000000 1.000000 1.000000 \n",
- "25% 1.000000 1.000000 2.000000 1.000000 1.000000 \n",
- "50% 5.000000 3.000000 3.000000 3.000000 3.000000 \n",
- "75% 9.000000 4.000000 5.000000 4.000000 4.000000 \n",
- "max 10.000000 5.000000 5.000000 5.000000 5.000000 \n",
- "\n",
- " ground_service value_for_money \n",
- "count 39358.000000 63975.000000 \n",
- "mean 2.692820 2.943962 \n",
- "std 1.612215 1.587370 \n",
- "min 1.000000 1.000000 \n",
- "25% 1.000000 1.000000 \n",
- "50% 3.000000 3.000000 \n",
- "75% 4.000000 4.000000 \n",
- "max 5.000000 5.000000 "
- ]
- },
- "execution_count": 239,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "df.describe()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 240,
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/"
- },
- "id": "PUtvi4FQQuly",
- "outputId": "802a4651-9632-4587-accf-a9a87384b776"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "airline 65948\n",
- "overall 67878\n",
- "author 65948\n",
- "review_date 65948\n",
- "customer_review 65948\n",
- "aircraft 112177\n",
- "traveller_type 92140\n",
- "cabin 68592\n",
- "route 92169\n",
- "date_flown 92262\n",
- "seat_comfort 71214\n",
- "cabin_service 71180\n",
- "food_bev 79287\n",
- "entertainment 87702\n",
- "ground_service 92537\n",
- "value_for_money 67920\n",
- "recommended 67455\n",
- "dtype: int64"
- ]
- },
- "execution_count": 240,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "df.isnull().sum()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 241,
- "metadata": {
- "id": "p5IU6nNYQwfg"
- },
- "outputs": [],
- "source": [
- "# Making a copy of the dataset so as to keep the original data intact\n",
- "df1 = df.copy()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "b-2JQtsgF0Sd"
- },
- "source": [
- "# **DATA CLEANING**"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "CU8ey3C8FchQ"
- },
- "source": [
- "**Dropping Unnecessary Columns**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 242,
- "metadata": {
- "id": "jos6N2yhQ5yz"
- },
- "outputs": [],
- "source": [
- "# Removing unnecessary columns.\n",
- "airline_df = df1.drop(['author','aircraft','date_flown','route','review_date','customer_review'],axis = 1)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "ejY38rB2GNMI"
- },
- "source": [
- "\n",
- "* These columns does not have any significance in predictive analysis and also contains huge null values, so its been removed.\n",
- "\n",
- "\n",
- "\n"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "jU65MGQ2GFUf"
- },
- "source": [
- "Checking Duplicated values"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 127,
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/"
- },
- "id": "fAcEzTm2RB4i",
- "outputId": "5c4c108c-c3e2-4c98-953a-4ab8793844b0"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "85121"
- ]
- },
- "execution_count": 127,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "#Counting no of duplicate values\n",
- "airline_df.duplicated().sum()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 128,
- "metadata": {
- "id": "Gt5N46PWRZDx"
- },
- "outputs": [],
- "source": [
- "#Removing the duplicates\n",
- "airline_df.drop_duplicates(keep='first', inplace = True)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "83utQ-J3GWgR"
- },
- "source": [
- "\n",
- "\n",
- "* There were 85121 duplicated values. Removing the duplicated values and keeping only first values.\n",
- "\n",
- "\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 129,
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/"
- },
- "id": "lh9vdw--bN17",
- "outputId": "75caf703-8121-4538-ddc0-3395a86d8bc7"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "0"
- ]
- },
- "execution_count": 129,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "#Counting no of duplicate values again\n",
- "airline_df.duplicated().sum()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "XyTJAI9CItl3"
- },
- "source": [
- "## Creating a Data Frame with all the Numerical Features"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 132,
- "metadata": {
- "id": "Xvlrzz4VTxXw"
- },
- "outputs": [],
- "source": [
- "numerical_df = airline_df[['overall','seat_comfort','cabin_service','food_bev','entertainment','ground_service', 'value_for_money']]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 133,
- "metadata": {
- "id": "mVYxrShFR0A2"
- },
- "outputs": [],
- "source": [
- "# Filling null values with KNN Imputer\n",
- "from sklearn.impute import KNNImputer\n",
- "imputer = KNNImputer(n_neighbors=5)\n",
- "numerical_df = pd.DataFrame(imputer.fit_transform(numerical_df),columns = numerical_df.columns)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "-HwjBR3AJ_gm"
- },
- "source": [
- "* For the numerical values we have used KNNImputer to impute data into null values.KNN is a very effective for data imputation."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 134,
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/"
- },
- "id": "hj6SHum1Z8gz",
- "outputId": "81300a66-9981-49fa-e41d-cc15fbb17b77"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "<class 'pandas.core.frame.DataFrame'>\n",
- "RangeIndex: 46774 entries, 0 to 46773\n",
- "Data columns (total 7 columns):\n",
- " # Column Non-Null Count Dtype \n",
- "--- ------ -------------- ----- \n",
- " 0 overall 46774 non-null float64\n",
- " 1 seat_comfort 46774 non-null float64\n",
- " 2 cabin_service 46774 non-null float64\n",
- " 3 food_bev 46774 non-null float64\n",
- " 4 entertainment 46774 non-null float64\n",
- " 5 ground_service 46774 non-null float64\n",
- " 6 value_for_money 46774 non-null float64\n",
- "dtypes: float64(7)\n",
- "memory usage: 2.5 MB\n"
- ]
- }
- ],
- "source": [
- "numerical_df.info()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "CRzECRkIKoTt"
- },
- "source": [
- "* Let's merge again the numerical columns into our main dataframe after cleaning the data."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 245,
- "metadata": {
- "id": "NO-AVUrNSF76"
- },
- "outputs": [],
- "source": [
- "airline_df = airline_df.drop(columns = ['overall','seat_comfort','cabin_service','food_bev','entertainment','ground_service', 'value_for_money'])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 246,
- "metadata": {
- "id": "bXS94JOMUu-r"
- },
- "outputs": [],
- "source": [
- "airline_df = pd.concat([airline_df.reset_index(),numerical_df.reset_index()], axis =1)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 247,
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/"
- },
- "id": "ZjWsd8CqRiVQ",
- "outputId": "858829c3-0248-41c0-cb0f-78329ce6eccf"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "index 0\n",
- "airline 65948\n",
- "traveller_type 92140\n",
- "cabin 68592\n",
- "recommended 67455\n",
- "index 85121\n",
- "overall 85121\n",
- "seat_comfort 85121\n",
- "cabin_service 85121\n",
- "food_bev 85121\n",
- "entertainment 85121\n",
- "ground_service 85121\n",
- "value_for_money 85121\n",
- "dtype: int64"
- ]
- },
- "execution_count": 247,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "airline_df.isnull().sum()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 248,
- "metadata": {
- "id": "6nNZ2T2VRbXO"
- },
- "outputs": [],
- "source": [
- "# droping the rows which have all values as NaN\n",
- "airline_df.dropna(axis=0,how='any',inplace = True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 249,
- "metadata": {
- "id": "tT04SGgTU4BI"
- },
- "outputs": [],
- "source": [
- "airline_df = airline_df.dropna(subset=['recommended'])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 250,
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/"
- },
- "id": "3Ytr8lEZVBOX",
- "outputId": "1c7f2f24-1df8-4ed5-d8c6-507de2800499"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "index 0\n",
- "airline 0\n",
- "traveller_type 0\n",
- "cabin 0\n",
- "recommended 0\n",
- "index 0\n",
- "overall 0\n",
- "seat_comfort 0\n",
- "cabin_service 0\n",
- "food_bev 0\n",
- "entertainment 0\n",
- "ground_service 0\n",
- "value_for_money 0\n",
- "dtype: int64"
- ]
- },
- "execution_count": 250,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "airline_df.isnull().sum()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "lX2fBNpKLryP"
- },
- "source": [
- "* Voila Now we can say we don't have any null values in our dataset!!! "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 251,
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/"
- },
- "id": "cdIhjMZ_VDBN",
- "outputId": "79ebbfbd-1076-45d8-a150-f1b0bd757328"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "<class 'pandas.core.frame.DataFrame'>\n",
- "Index: 15411 entries, 1 to 46773\n",
- "Data columns (total 13 columns):\n",
- " # Column Non-Null Count Dtype \n",
- "--- ------ -------------- ----- \n",
- " 0 index 15411 non-null int64 \n",
- " 1 airline 15411 non-null object \n",
- " 2 traveller_type 15411 non-null object \n",
- " 3 cabin 15411 non-null object \n",
- " 4 recommended 15411 non-null object \n",
- " 5 index 15411 non-null float64\n",
- " 6 overall 15411 non-null float64\n",
- " 7 seat_comfort 15411 non-null float64\n",
- " 8 cabin_service 15411 non-null float64\n",
- " 9 food_bev 15411 non-null float64\n",
- " 10 entertainment 15411 non-null float64\n",
- " 11 ground_service 15411 non-null float64\n",
- " 12 value_for_money 15411 non-null float64\n",
- "dtypes: float64(8), int64(1), object(4)\n",
- "memory usage: 1.6+ MB\n"
- ]
- }
- ],
- "source": [
- "airline_df.info()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "sN7_YHoMMDnG"
- },
- "source": [
- "* Now we have the shape of our dataset as 29731 rows and 11 columns"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 252,
- "metadata": {
- "id": "tQN7gZhOW9nO"
- },
- "outputs": [],
- "source": [
- "numrical_feature = [feature for feature in numerical_df.columns]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 253,
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/",
- "height": 1000
- },
- "id": "_G1Ez-vmWxVa",
- "outputId": "61556802-4526-4b2f-f15d-9fafd32f3273"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<Figure size 500x500 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
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",
- "text/plain": [
- "<Figure size 500x500 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<Figure size 500x500 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<Figure size 500x500 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "image/png": 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Lyc/PV2RkpDIyMiRJAQEBWr16tc6dO6ehQ4dq1KhR8vLy0po1a6wrUAAArianuQHCRTk5OdZfBwYG2jyXpM6dO2vVqlWNHQsAAElOvuIEAMDZUJwAAJhAcQIAYALFCQCACRQnAAAmUJwAAJhAcQIAYALFCQCACRQnAAAmUJwAAJhAcQIAYALFCQCACRQnAAAmUJwAAJhAcQIAYALFCQCACRQnAAAmUJwAAJhAcQIAYALFCQCACRQnAAAmUJwAAJhAcQIAYALFCQCACRQnAAAmUJwAAJhAcQIAYALFCQCACRQnAAAmUJwAAJhAcQIAYALFCQCACU5VnEePHlXPnj21adOmS845deqUpk6dqvDwcIWHh2vWrFkqKytrxJQAgKbMaYrz/PnzmjZt2hVLMDY2VsePH1daWppSUlK0c+dOJSQkNFJKAEBT5zTFuXjxYt14442XnbNv3z5lZmZq/vz56tq1q/r27au5c+fq3XffVUFBQSMlBQA0Zc0cHUCS9u7dq/Xr12vz5s3q16/fJedlZWXJ19dXHTp0sI5FRETIYrEoOztb9913XyOkbRyGYaiystLRMdAEVFRU1Ppr4Gpyd3eXxWJxdAy7OLw4S0tLNX36dD333HMKCAi47NyCgoIac9zc3NS6dWvl5+dfzZiNrrKyUkOGDHF0DDQxI0aMcHQENBFvv/22PDw8HB3DLg4/VBsfH68ePXpo4MCBV5xbXl4uNze3GuPu7u6szgAAjcKhK87NmzcrKytLW7durdN8Dw8PVVVV1RivrKyUp6dnQ8dzGocOzdOFCzX/wQA0HOP//nttHjrDtcHFpUqdOz/r6Bj15tDi3Lhxo06cOFHjvOacOXO0atUq/fd//7fNuL+/v7Zv324zVlVVpZKSEvn5+V3tuA5z4YKbDMPd0TEAoF4uXHB0gobh0OJMSkqqcTHC73//e8XGxtZ6oU94eLiSkpKUl5entm3bSpL27NkjSQoLC7v6gQEATZ5Di/NSq0QfHx/dcsstqq6u1smTJ+Xl5SUPDw+FhoYqLCxMkydPVnx8vMrKyjRnzhwNGjToul5xAgCch8MvDrqc/Px8RUZGKiMjQ5JksVi0ZMkSBQYGauTIkYqLi1NUVJTi4+MdGxQA0GQ4/OMov5aTk2P9dWBgoM1z6efVaEpKSmPHAgBAkpOvOAEAcDYUJwAAJlCcAACYQHECAGACxQkAgAkUJwAAJlCcAACYQHECAGACxQkAgAkUJwAAJlCcAACYQHECAGACxQkAgAkUJwAAJlCcAACYQHECAGACxQkAgAkUJwAAJlCcAACYQHECAGACxQkAgAkUJwAAJlCcAACYQHECAGACxQkAgAkUJwAAJlCcAACYQHECAGACxQkAgAkUJwAAJlCcAACYQHECAGCCXcX5zDPP6Pjx47Vu+/bbbzV+/Pg67+vEiRP6y1/+oj59+qhnz54aO3as/vWvf11y/jvvvKPg4OAaj7y8PNPvAwAAs5rVdeIPP/xg/fXmzZt19913y9XVtca8f/7zn9q1a1edA0yYMEEuLi5auXKlPD09tWjRIo0aNUrbtm1T8+bNa8zPyclRRESEkpOTbca9vb3r/DMBALBXnYtz7ty52rFjh/X5U089Ves8wzB0++2312mfp06dUmBgoCZMmKBOnTpJkp588kk99NBDOnz4sLp3717jNbm5uQoJCZGvr29dowMA0GDqXJwJCQnatWuXDMPQs88+qwkTJug3v/mNzRwXFxe1bNlSvXv3rtM+27RpY7NyLC4u1qpVq+Tv76+OHTvW+pqcnBwNGDCgrrEBAGhQdS5OPz8/DR48WJJksVh05513Nujh0VmzZumtt96Sm5ubXn31VXl6etaYc/LkSRUXF2vv3r1KT09XSUmJQkNDNW3aNLVr167BsgAAcCl1Ls5fGjx4sAzD0MGDB1VWVibDMGrMCQ8PN7XPkSNH6g9/+IPefPNNTZw4UevWrVPXrl1t5uTm5kqSXF1dlZiYqLKyMi1dulTDhg3T1q1bddNNN9nzdgAAqDO7ivPAgQP685//rB9//FGSrMVpsVhkGIYsFosOHTpkap8XD80+//zz2r9/v9auXav58+fbzOnTp48yMzPVqlUr61hqaqqio6O1adMmjR071p63AwBAndlVnPPmzVOzZs00f/58+fv7y8XFvo+DnjhxQp999pnuvfde6xW6Li4u6tChgwoLC2t9zS9LU5I8PT0VGBiogoICuzIAAGCGXcV58OBBJScn6+67767XDy8sLNTUqVPl4+Ojvn37SpLOnz+vgwcPKiYmpsb8devWadGiRdqxY4c8PDwkSWfPntWxY8f0yCOP1CsLAAB1YddS0cfHx+5V5i+FhIQoMjJSCQkJysrKUm5urmbMmKHS0lKNGjVK1dXVKioqUkVFhSQpOjpahmFo+vTpOnz4sL788ktNmjRJ3t7e1guXAAC4muxqv2HDhmnFihUqKyur1w+3WCx65ZVX1KdPH8XFxWnIkCE6ffq03njjDd18883Kz89XZGSkMjIyJEkBAQFavXq1zp07p6FDh2rUqFHy8vLSmjVrrCtQAACuJrsO1ebl5enIkSO6/fbb1alTpxqlZbFYtHr16jrty8vLS/Hx8YqPj6+xLTAwUDk5OTZjnTt31qpVq+yJDQBAvdldnCEhIdbnv/44Sm0fTwEA4HpgV3Gmp6c3dA4AAK4JdhXnRadPn1ZWVpYKCws1YMAAlZSUqF27drJYLA2VDwAAp2J3cb766qtavny5KioqZLFY1L17dy1cuFAlJSV67bXX1LJly4bMCQCAU7Drqtq1a9dq8eLFGj16tN566y3rOc2RI0fq+PHjWrRoUYOGBADAWdhVnOnp6Ro7dqz+/Oc/29xP9o477lBcXJz+8Y9/NFhAAACciV3F+cMPPygiIqLWbe3bt1dxcXG9QgEA4KzsKs6AgADt27ev1m1fffWVAgIC6hUKAABnZdfFQY888ogWL14sDw8P9evXT5JUVlamDz74QMuXL9fo0aMbMiMAAE7DruJ84okn9N133ykpKUlJSUmSpMcee0ySNHDgQI0bN67hEgIA4ETsKk6LxaK5c+dq9OjR2r17t06fPi0vLy9FRESoU6dODZ0RAACnUa8bILRr107t2rVrqCwAADg9u4qzqqpKa9eu1eeff67S0tIa283c5B0AgGuJXcU5d+5cbdiwQZ06dVLr1q1rbOcm7wCA65Vdxblt2zaNHz9ecXFxDRwHAADnZtfnOF1cXBQeHt7QWQAAcHp2FeegQYO0ceNGXbhwoaHzAADg1Ow6VBsXF6dBgwZpwIAB6tatmzw8PGy2WywWzZs3r0ECAgDgTOwqzqSkJB09elTNmzfXF198UWM738cJALhe2VWcW7Zs0ciRIzV9+nS5uro2dCYAAJyWXec4q6urFRMTQ2kCAJocu4qzf//+ev/99xs6CwAATs+uQ7WhoaFasGCBvvnmG/Xs2VM33nijzXaLxaKJEyc2SEAAAJyJXcUZHx8vSdq/f7/2799fYzvFCQC4XtlVnN98801D5wAA4Jpg1zlOAACaKrtWnBcuXNCGDRv08ccfq7y8vMYdhPh2FADA9cruGyC89tprCgwMlL+/f40bHvDtKACA65Vdxfnuu+9q9OjRmjFjRkPnAQDAqdl1jvPcuXPq169fA0cBAMD52VWct912mz7//POGzgIAgNOz61DtmDFj9Je//EU//fSTQkND1bx58xpz6vp9nSdOnNCLL76oTz/9VJWVlQoPD9f06dPVsWPHWuefOnVKL7zwgv75z39Kku655x4988wz8vT0tOetAABgil3FOXr0aElSamqqJNtvQzEMQxaLRYcOHarTviZMmCAXFxetXLlSnp6eWrRokUaNGqVt27bVWsixsbGqrKxUWlqaSktLNXPmTCUkJCgxMdGetwIAgCl2FeeaNWsa5IefOnVKgYGBmjBhgjp16iRJevLJJ/XQQw/p8OHD6t69u838ffv2KTMzUxkZGerQoYMkae7cuRozZoymTJkiPz+/BskFAMCl2FWcERERDfLD27Rpo+TkZOvz4uJirVq1Sv7+/rUeqs3KypKvr6+1NC9msVgsys7O1n333dcguQAAuJQ6F+eSJUs0ZMgQ+fn5acmSJZeda8+9amfNmqW33npLbm5uevXVV2s9Z1lQUKCAgACbMTc3N7Vu3Vr5+fmmft61xGKpdHQEAKi36+XvMlPFGRUVddWKc+TIkfrDH/6gN998UxMnTtS6devUtWtXmznl5eVyc3Or8Vp3d3dVVl4ffyAX/fImEl26zHRgEgBoeNfyjXLqXJy/vLH71bjJ+8VDs88//7z279+vtWvXav78+TZzPDw8VFVVVeO1lZWVXFULAGgUdp3jvJIzZ87Iy8vrivNOnDihzz77TPfee69cXV0lSS4uLurQoYMKCwtrzPf399f27dttxqqqqlRSUnLdXRj0yyuVDx78qwzD3YFpAKD+LJZK6xG0X9+q9VpiV3FWVVUpLS1NmZmZOn/+vHXJbRiGysrK9K9//UtffPHFFfdTWFioqVOnysfHR3379pUknT9/XgcPHlRMTEyN+eHh4UpKSlJeXp7atm0rSdqzZ48kKSwszJ63ck0wDHeKEwCchF13DnrppZeUnJyswsJCHTlyRN9//73Ky8t14MABHTp0SOPGjavTfkJCQhQZGamEhARlZWUpNzdXM2bMUGlpqUaNGqXq6moVFRWpoqJCkhQaGqqwsDBNnjxZBw4c0O7duzVnzhwNGjToultxAgCck13F+eGHH2rUqFHasmWLRowYoW7duuntt9/Whx9+qFtuuaXG14xdisVi0SuvvKI+ffooLi5OQ4YM0enTp/XGG2/o5ptvVn5+viIjI5WRkWGdv2TJEgUGBmrkyJGKi4tTVFSU4uPj7XkbAACYZteh2pMnT+rOO++UJAUHB2v9+vWSJD8/P40dO1avv/66nnrqqTrty8vLS/Hx8bWWX2BgoHJycmzGfHx8lJKSYk9sAADqza4Vp5eXl/Xq1t/+9rfKz8/X2bNnbZ4DAHA9sqs4e/XqpfT0dJWVlSkwMFDNmzfXtm3bJP18W7wWLVo0aEgAAJyFXcU5ceJE7d+/X+PGjVOzZs00bNgwzZ49Ww8//LAWLVqkAQMGNHROAACcgl3nOENCQvT+++8rNzdXkjR16lS1aNFCn3/+uWJiYup8VS0AANcau4pz79696tKli26//XZJP1/tOn78eElSaWmpPvzwQ91///0NlxIAACdh16Haxx57TEeOHKl128GDB/XMM8/UKxQAAM6qzivOGTNmWK+WNQxD8fHxtV4EdOzYMd10000NlxAAACdS5xXngAEDZBiGzR3tLz6/+HBxcVGPHj1q3JwdAIDrRZ1XnDExMdb7xw4cOFAvv/yyzRdKAwDQFNh1jrOioqLGHX0AAGgK7CrO0tJStWnTpqGzAADg9Oy+qvall17S7t27dfLkyYbOBACA07Lrc5zvvvuufvjhB40ePbrW7RaLRQcPHqxXMAAAnJFdxfnggw82dA4AAK4JdhVnXb8yDACA641dxXnRjh07tGvXLhUVFWny5Mk6dOiQunbtqltuuaWh8gEA4FTsKs7y8nJNnDhRu3btUosWLXTu3Dk9/vjjevPNN3Xw4EGtXbtWnTp1auisAAA4nF1X1SYnJ+vrr79WWlqadu/ebb2b0EsvvSQ/Pz8tWrSoQUMCAOAs7CrO999/X1OmTFGfPn1ksVis476+vpowYYKys7MbLCAAAM7E7hsgXOo8ZqtWrVRWVlavUAAAOCu7irNTp07aunVrrdv+8Y9/cH4TAHDdsuvioAkTJuipp55SSUmJoqOjZbFYtHfvXm3atEl///vftWDBgobOCQCAU7CrOO+++269/PLLWrBggXbs2CFJevHFF+Xj46P4+Hjdc889DRoSAABnYffnOAcOHKiBAwfq22+/VUlJiVq2bKn27dvLxcWuo78AAFwT7L7J+5EjRyRJ7du3V1hYmDp27CgXFxd98803GjhwYIOGBADAWdR5xZmVlWX9vGZmZqb27t1b6zejfPzxxzp+/HjDJQQAwInUuTg3bNigzZs3y2KxyGKxKCEhocaci8X6wAMPNFxCAACcSJ2Lc+bMmXr44YdlGIZGjhyp2bNnq2PHjjZzXFxc1LJlSz6OAgC4btW5OL28vBQRESFJWrNmjbp06aIWLVpctWAAADgju66qjYiI0JkzZ7Rt2zaVlZVZD9H+0qBBg+qbDQAAp2NXce7YsUNxcXGqqKiotTQtFgvFCQC4LtlVnMnJyWrfvr2eeeYZ+fn58dlNAECTYVdxfvvtt1q6dKl69epV7wAlJSVKTk7WJ598orNnzyo4OFhTp0695L7feecdPf300zXGP/zwQ7Vt27beeQAAuBy7ivPmm2/W2bNnGyTAlClTdOLECSUnJ8vb21vr1q3T448/rk2bNqlDhw415ufk5CgiIkLJyck2497e3g2SBwCAy7HrGOu4ceOUmpqq7777rl4/PC8vTzt37tScOXPUq1cvtW/fXjNnzpSfn5/ee++9Wl+Tm5urkJAQ+fr62jxcXV3rlQUAgLqwa8W5detWFRQUqH///vL29paHh4fNdovFou3bt19xP23atNGKFSvUrVs3m9cahqHTp0/X+pqcnBwNGDDAntgAANSbXcXp7+8vf3//ev/wli1b6s4777QZe//99/Xvf/9bkZGRNeafPHlSxcXF2rt3r9LT01VSUqLQ0FBNmzZN7dq1q3ceAACuxK7inD9/viTpyJEj2rlzpwoLC/Xoo4/qu+++U0hIiN03RsjOztazzz6ru+66SzExMTW25+bmSpJcXV2VmJiosrIyLV26VMOGDdPWrVt100032fVzAQCoK7uK88KFC5o9e7Y2btwowzBksVh07733KjU1VcePH9cbb7whPz8/U/vcvn27pk2bptDQ0BoX/lzUp08fZWZmqlWrVtax1NRURUdHa9OmTRo7dqw9bwcAgDqz6+KgpUuXauvWrXrhhRe0c+dO600QZsyYoQsXLlyy+C5l7dq1mjRpkqKiorRy5coa50x/6ZelKUmenp4KDAxUQUGB+TcCAIBJdhXnxo0bFRsbq//6r/9S69atreMhISGKjY3Vzp0767yvdevW6fnnn9fw4cP1yiuvyM3N7bJze/furYqKCuvY2bNndezYsRo3nAcA4GqwqziLi4vVuXPnWrf5+fmptLS0Tvs5evSo5s2bp/79+2vcuHE6ceKEioqKVFRUpDNnzqi6ulpFRUXWooyOjpZhGJo+fboOHz6sL7/8UpMmTZK3t7cGDx5sz1sBAMAUu4qzbdu22rFjR63bMjMz63wHnw8++EDnz5/Xtm3bFBkZafP461//qvz8fEVGRiojI0OSFBAQoNWrV+vcuXMaOnSoRo0aJS8vL61Zs+ayh3cBAGgodl0cdPH7OM+fP6/o6GhZLBbl5eVpz549eu2112q9JV5txo8fr/Hjx192Tk5Ojs3zzp07a9WqVfbEBgCg3uwqziFDhujkyZNatmyZ3nzzTRmGoSlTpuiGG27QmDFjNHTo0IbOCQCAU7CrOKWfb7s3fPhw7du3TyUlJWrZsqVCQ0NtLhYCAOB6Y3dxSlKLFi10xx13NFQWAACcHl+kCQCACRQnAAAmUJwAAJhAcQIAYALFCQCACRQnAAAmUJwAAJhAcQIAYALFCQCACRQnAAAmUJwAAJhAcQIAYALFCQCACRQnAAAmUJwAAJhAcQIAYALFCQCACRQnAAAmUJwAAJhAcQIAYALFCQCACRQnAAAmUJwAAJhAcQIAYALFCQCACRQnAAAmUJwAAJhAcQIAYALFCQCACQ4vzpKSEs2ePVtRUVEKCwvT0KFDlZWVdcn5p06d0tSpUxUeHq7w8HDNmjVLZWVljZgYANCUObw4p0yZoi+++ELJycnasGGDunbtqscff1xHjhypdX5sbKyOHz+utLQ0paSkaOfOnUpISGjk1ACApsqhxZmXl6edO3dqzpw56tWrl9q3b6+ZM2fKz89P7733Xo35+/btU2ZmpubPn6+uXbuqb9++mjt3rt59910VFBQ44B0AAJoahxZnmzZttGLFCnXr1s06ZrFYZBiGTp8+XWN+VlaWfH191aFDB+tYRESELBaLsrOzGyUzAKBpa+bIH96yZUvdeeedNmPvv/++/v3vfysyMrLG/IKCAgUEBNiMubm5qXXr1srPz7+qWQEAkJzgHOcvZWdn69lnn9Vdd92lmJiYGtvLy8vl5uZWY9zd3V2VlZWNEREA0MQ5TXFu375djz/+uLp3767k5ORa53h4eKiqqqrGeGVlpTw9Pa92RAAAnKM4165dq0mTJikqKkorV66Uh4dHrfP8/f1VWFhoM1ZVVaWSkhL5+fk1RlQAQBPn8OJct26dnn/+eQ0fPlyvvPJKrYdiLwoPD9ePP/6ovLw869iePXskSWFhYVc9KwAADi3Oo0ePat68eerfv7/GjRunEydOqKioSEVFRTpz5oyqq6tVVFSkiooKSVJoaKjCwsI0efJkHThwQLt379acOXM0aNAgVpwAgEbh0OL84IMPdP78eW3btk2RkZE2j7/+9a/Kz89XZGSkMjIyJP38UZUlS5YoMDBQI0eOVFxcnKKiohQfH+/ItwEAaEIc+nGU8ePHa/z48Zedk5OTY/Pcx8dHKSkpVzMWAACX5PBznAAAXEsoTgAATKA4AQAwgeIEAMAEihMAABMoTgAATKA4AQAwgeIEAMAEihMAABMceucg1I2LS5UuXHB0ClzfjP/7r8WhKXB9c3Gp+bWQ1yKK8xrQufOzjo4AAPg/HKoFAMAEVpxOyt3dXW+//bajY6AJqKio0IgRIyRJ6enpl/wieaAhubu7OzqC3ShOJ2WxWPgLDI3Ow8OD/++AK+BQLQAAJlCcAACYQHECAGACxQkAgAkUJwAAJlCcAACYQHECAGACxQkAgAkUJwAAJlCcAACYQHECAGACxQkAgAkUJwAAJlCcAACYQHECAGACxQkAgAkUJwAAJlCcAACY4FTFuXTpUo0YMeKyc9555x0FBwfXeOTl5TVSSgBAU9bM0QEuSktLU0pKisLDwy87LycnRxEREUpOTrYZ9/b2vprxAACQ5ATFWVBQoJkzZyo7O1vt2rW74vzc3FyFhITI19e3EdIBAGDL4Ydqv/76a7Vq1UpbtmxRaGjoFefn5OSoY8eOjZAMAICaHL7ijImJUUxMTJ3mnjx5UsXFxdq7d6/S09NVUlKi0NBQTZs2rU6rVQAA6svhK04zcnNzJUmurq5KTEzUwoULVVZWpmHDhqm4uNjB6QAATYHDV5xm9OnTR5mZmWrVqpV1LDU1VdHR0dq0aZPGjh3rwHQAgKbgmlpxSrIpTUny9PRUYGCgCgoKHJQIANCUXFPFuW7dOvXu3VsVFRXWsbNnz+rYsWNcMAQAaBROXZzV1dUqKiqyFmV0dLQMw9D06dN1+PBhffnll5o0aZK8vb01ePBgB6cFADQFTl2c+fn5ioyMVEZGhiQpICBAq1ev1rlz5zR06FCNGjVKXl5eWrNmjTw8PBycFgDQFDjVxUEvvviizfPAwEDl5OTYjHXu3FmrVq1qzFgAAFg59YoTAABnQ3ECAGACxQkAgAkUJwAAJlCcAACYQHECAGACxQkAgAkUJwAAJlCcAACYQHECAGACxQkAgAkUJwAAJlCcAACYQHECAGACxQkAgAkUJwAAJlCcAACYQHECAGACxQkAgAkUJwAAJlCcAACYQHECAGACxQkAgAkUJwAAJlCcAACYQHECAGACxQkAgAkUJwAAJlCcAACYQHECAGACxQkAgAlOVZxLly7ViBEjLjvn1KlTmjp1qsLDwxUeHq5Zs2aprKyskRICAJo6pynOtLQ0paSkXHFebGysjh8/bp2/c+dOJSQkNEJCAACkZo4OUFBQoJkzZyo7O1vt2rW77Nx9+/YpMzNTGRkZ6tChgyRp7ty5GjNmjKZMmSI/P7/GiAwAaMIcvuL8+uuv1apVK23ZskWhoaGXnZuVlSVfX19raUpSRESELBaLsrOzr3ZUAAAcv+KMiYlRTExMneYWFBQoICDAZszNzU2tW7dWfn7+1YiHa4xhGKqsrHR0jGtKRUVFrb/Glbm7u8tisTg6BhqZw4vTjPLycrm5udUYd3d35y9LyDAMzZgxQ4cOHXJ0lGvWlS7Og63OnTsrMTGR8mxiHH6o1gwPDw9VVVXVGK+srJSnp6cDEgEAmpprasXp7++v7du324xVVVWppKSEC4Mgi8WixMREjj7YwTAMSWLlZBKHapuma6o4w8PDlZSUpLy8PLVt21aStGfPHklSWFiYI6PBSVgsFnl4eDg6BoDrmFMfqq2urlZRUZH1goXQ0FCFhYVp8uTJOnDggHbv3q05c+Zo0KBBrDgBAI3CqYszPz9fkZGRysjIkPTzamLJkiUKDAzUyJEjFRcXp6ioKMXHxzs2KACgybAYF09uNFF33XWXJOmjjz5ycBIAgCPVtQ+cesUJAICzoTgBADCB4gQAwASKEwAAEyhOAABMoDgBADCB4gQAwASKEwAAEyhOAABMoDgBADDhmvp2lKuhsLBQ1dXV1lstAQCapvz8fLm6ul5xXpNfcbq7u6tZsyb/7wcAaPKaNWsmd3f3K85r8jd5BwDAjCa/4gQAwAyKEwAAEyhOAABMoDgBADCB4gQAwASKEwAAEyhOAABMoDgBADDh/wFDP48QI1bUAgAAAABJRU5ErkJggg==",
- "text/plain": [
- "<Figure size 500x500 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<Figure size 500x500 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<Figure size 500x500 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "for feature in numrical_feature:\n",
- " plt.figure(figsize=(5, 5))\n",
- " sns.boxplot(y=feature, data=airline_df, dodge=True, orient=\"h\", palette=['blue'])\n",
- " plt.title(feature)\n",
- " plt.show()\n"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "r2xzRFhHZLQ0"
- },
- "source": [
- "* We can see that there are no outliers present in our data."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "cKFaNki_MPDi"
- },
- "source": [
- "## Data Visualizations"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 243,
- "metadata": {
- "id": "BxDfAo9lKAFS",
- "outputId": "61329e86-0f5a-4950-d5e0-36f63afc3c6f"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "cabin\n",
- "Economy Class 48558\n",
- "Business Class 10326\n",
- "Premium Economy 2799\n",
- "First Class 1620\n",
- "Name: count, dtype: int64"
- ]
- },
- "execution_count": 243,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "airline_df['cabin'].value_counts()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 145,
- "metadata": {
- "id": "8Q68S13iKAFS",
- "outputId": "30ddf4fe-9e66-4c41-a29b-b0408adda5f8"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "airline\n",
- "British Airways 1809\n",
- "American Airlines 1451\n",
- "United Airlines 1380\n",
- "Emirates 993\n",
- "China Southern Airlines 970\n",
- " ... \n",
- "Thai Smile Airways 46\n",
- "QantasLink 34\n",
- "Adria Airways 31\n",
- "Germanwings 28\n",
- "Tunisair 24\n",
- "Name: count, Length: 81, dtype: int64"
- ]
- },
- "execution_count": 145,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "airline_df['airline'].value_counts()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 254,
- "metadata": {
- "id": "nJhc3zaPKAFS",
- "outputId": "36c2536e-d5d7-4926-ffbb-f7f8a441841d"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<Figure size 1000x600 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "seatcomfert = {\n",
- " 'cabin': ['Economy Class', 'Business Class', 'Premium Economy', 'First Class'],\n",
- " 'count': [48558, 10326, 2799, 1620]\n",
- "}\n",
- "seatcomfert_df= pd.DataFrame(seatcomfert)\n",
- "\n",
- "# Plot the pie chart\n",
- "fig, ax = plt.subplots(figsize=(10, 6))\n",
- "ax.pie(seatcomfert_df['count'], labels=seatcomfert_df['cabin'], autopct='%1.1f%%', startangle=90, colors=plt.cm.RdBu(range(len(seatcomfert_df))),\n",
- " wedgeprops={'edgecolor': 'black'}, pctdistance=0.85)\n",
- "\n",
- "# Draw the center circle for the donut chart\n",
- "centre_circle = plt.Circle((0, 0), 0.70, fc='white')\n",
- "fig.gca().add_artist(centre_circle)\n",
- "\n",
- "# Equal aspect ratio ensures that pie is drawn as a circle.\n",
- "ax.axis('equal')\n",
- "\n",
- "plt.title('Cabin Distribution')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "TsgPaUMMlNM7"
- },
- "source": [
- "* From above graph we can clearly see that nearly 76 % flyers are from Economy Class cabin followed by Businessclass that is 17 %"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "RQESpYJ8lxXe"
- },
- "source": [
- "COUNTPLOT FOR CABIN WRT RECOMMENDED"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 148,
- "metadata": {
- "id": "CV5g7Vp0KAFT",
- "outputId": "9ae286b0-2701-4944-dd6a-1df953d3639b"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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- "text/plain": [
- "<Figure size 1300x700 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "plt.figure(figsize=(13,7))\n",
- "sns.set_theme(style=\"white\")\n",
- "\n",
- "\n",
- "sns.countplot(x='cabin', hue='recommended', data=airline_df, palette=['red', 'blue'])\n",
- "\n",
- "plt.title('Cabin', fontsize=25)\n",
- "plt.xlabel('Seat Type', fontsize=15)\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "* So, economy class have more recomandation and first class have minimum.\n"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "PX9ARCNLmYWS"
- },
- "source": [
- "**COUNTPLOT FOR TRAVELLER_TYPE WITH MOST RATINGS**\n",
- "\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 149,
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/",
- "height": 475
- },
- "id": "01kd207efFhU",
- "outputId": "370ff0dd-86cf-4f45-aedc-e6edef0bbcff"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<Figure size 1300x700 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Traveller type with most ratings.\n",
- "plt.figure(figsize=(13,7))\n",
- "sns.set_theme(style=\"white\")\n",
- "\n",
- "\n",
- "sns.countplot(x='traveller_type', data=airline_df, palette=\"flag\")\n",
- "\n",
- "plt.title('Traveller Type', fontsize=25)\n",
- "plt.xlabel('Type', fontsize=15)\n",
- "plt.show()\n",
- "\n",
- "\n"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "The bar plot shows the count of reviews categorized by traveler type (Business, Family Leisure, Solo Leisure, Couple Leisure). Here's what the graph suggests:\n",
- "\n",
- "1. **Solo Leisure**:\n",
- " - Highest number of reviews.\n",
- " - Indicates that solo travelers are the most frequent reviewers.\n",
- "\n",
- "2. **Couple Leisure**:\n",
- " - Second highest number of reviews.\n",
- " - Indicates that couples traveling for leisure also frequently provide reviews.\n",
- "\n",
- "3. **Business**:\n",
- " - Moderate number of reviews.\n",
- " - Suggests that business travelers are also actively reviewing but less so than solo and couple leisure travelers.\n",
- "\n",
- "4. **Family Leisure**:\n",
- " - Fewest reviews.\n",
- " - Indicates that families traveling for leisure provide the least number of reviews among the categories.\n",
- "\n",
- "**Insight**: Solo and couple leisure travelers are the most active in providing reviews, while family leisure travelers are the least active."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "4L9AT4iZm0AH"
- },
- "source": [
- "NOW LET'S SEE THE TOP 10 AIRLINES"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 150,
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/",
- "height": 595
- },
- "id": "lHGuRor6fHcb",
- "outputId": "998f2814-3bd9-4d13-cb1a-9d52ae17b465"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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- "text/plain": [
- "<Figure size 1500x700 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Visualisation of top 10 airlines in the dataset.\n",
- "\n",
- "air=airline_df['airline'].value_counts()\n",
- "sns.set_theme(style=\"white\")\n",
- "plt.figure(figsize=(15,7))\n",
- "air[:10].plot(kind='bar',color ='#0000FF')\n",
- "plt.title('Top 10 airlines',fontsize=25)\n",
- "plt.xlabel('Airlines',fontsize=15)\n",
- "plt.ylabel('Count',fontsize=15)\n",
- "plt.show()\n",
- "\n"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "This graph shows maximum trips by planes . British airways has the most."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "ZwU_6rgMlBNp"
- },
- "source": [
- " **HISTOGRAM FOR RECOMMENDED**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 151,
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/"
- },
- "id": "fZxmmM2JfJ-r",
- "outputId": "d5e666c9-033f-4d44-89aa-0b3f7f908ef6"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "recommended\n",
- "no 15817\n",
- "yes 13914\n",
- "Name: count, dtype: int64"
- ]
- },
- "execution_count": 151,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Count of target variable (recommended)\n",
- "airline_df['recommended'].value_counts()\n",
- "\n",
- "#binary classification problem."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 228,
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/",
- "height": 517
- },
- "id": "mo8YMLEpfMNw",
- "outputId": "bd53c24b-211b-41c6-e31e-5d8948ab660e"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<Figure size 1000x600 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Plot the histogram\n",
- "plt.figure(figsize=(10, 6))\n",
- "plt.hist(airline_df['recommended'], bins=3, color=['orange'], edgecolor='black', alpha=0.7)\n",
- "plt.xlabel('Recommended')\n",
- "plt.ylabel('Count')\n",
- "plt.title('Histogram of Recommendations')\n",
- "plt.grid(axis='y', alpha=0.75)\n",
- "plt.xticks([0, 1], ['NO', 'Yes'])\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "oiNVl0tMnW0r"
- },
- "source": [
- "* 'No' responses are more as compared to 'Yes' responses\n",
- "* It seems nearly balanced target variable."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "x_tes1UKoW8R"
- },
- "source": [
- "COUNTPLOT FOR AIRLINES"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 153,
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/",
- "height": 564
- },
- "id": "IMXgD2QY-o1f",
- "outputId": "a14eb037-6b50-4677-a527-778a12744de7"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<Figure size 2000x700 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "sns.set(rc={'figure.figsize':(20,7)})\n",
- "sns.set_theme(style=\"white\")\n",
- "category_count=sns.countplot(x=\"airline\",data=airline_df,palette=\"Reds_r\")\n",
- "category_count.set_xticklabels(category_count.get_xticklabels(), rotation=90)\n",
- "sns.set_style(\"whitegrid\")"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "* As we have seen earlier 'British Airways' is the topmost Airline. \n",
- "* 'Tunisair','Germanwings' etc are the lowest number of trips."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 154,
- "metadata": {
- "id": "rE-4TENmin-P"
- },
- "outputs": [],
- "source": [
- "# Mapping the target feature with numerical data.\n",
- "airline_df['recommended']=airline_df['recommended'].map({'yes':1,'no':0})\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 155,
- "metadata": {
- "id": "N5ANZppMfsKq"
- },
- "outputs": [],
- "source": [
- "airline_df.drop(columns='index',inplace=True)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "VEmdcB1c8tXb"
- },
- "source": [
- "## HEATMAP"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 156,
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/",
- "height": 682
- },
- "id": "YbFtrWnhfN9y",
- "outputId": "7416c7d4-4f5b-454d-bd52-747f9bbfa378"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<Figure size 1200x1000 with 2 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "numeric_cols = airline_df.select_dtypes(include=[np.number])\n",
- "\n",
- "#correlation matrix\n",
- "plt.figure(figsize=(12,10))\n",
- "sns.heatmap(numeric_cols.corr(), annot=True, cmap='Blues')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Correlation matrix heatmap, which illustrates the relationships between different aspects of airline services, such as seat comfort, cabin service, food and beverages, entertainment, ground service, value for money, and how these factors correlate with overall customer satisfaction and recommendation rates.\n",
- "\n",
- "Key observations:\n",
- "\n",
- " High Correlation with Recommendation: The factor \"recommended\" has strong correlations with \"overall\" satisfaction and \"value for money\", suggesting that these aspects are significant predictors of whether customers would recommend the airline.\n",
- " Variability in Service Aspects: Different service aspects have varying degrees of correlation with overall satisfaction. For instance, \"seat comfort\" and \"cabin service\" show notable correlations, indicating their importance in the overall passenger experience.\n",
- " Darker Shades Indicate Stronger Correlation: The darker the shade of blue, the stronger the correlation. This is visible in the strong relationship between overall satisfaction and whether passengers recommend the airline, as well as between the overall satisfaction and perceived value for money.\n",
- "\n",
- "This heatmap is useful for identifying which factors are most influential in determining passenger satisfaction and the likelihood of recommending the airline, which can help in prioritizing areas for improvement.\n"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "4PhJKpbpoEtO"
- },
- "source": [
- "* We can see there are some highly correlated values like value_for_money,overall etc"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 157,
- "metadata": {
- "id": "94xRV2gKjXPo"
- },
- "outputs": [],
- "source": [
- "features=airline_df.columns"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 158,
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/"
- },
- "id": "936V2D1wjn8z",
- "outputId": "ac099e6a-1be2-413d-dd65-6494fddf16a1"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Index(['airline', 'traveller_type', 'cabin', 'recommended', 'overall',\n",
- " 'seat_comfort', 'cabin_service', 'food_bev', 'entertainment',\n",
- " 'ground_service', 'value_for_money'],\n",
- " dtype='object')"
- ]
- },
- "execution_count": 158,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "features"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 159,
- "metadata": {
- "id": "8T6q-4DM79HM"
- },
- "outputs": [],
- "source": [
- "features_1= features.drop(['airline','recommended'])"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "hq4snLLlpkZ8"
- },
- "source": [
- " **PLOT FOR THE FEATURES WRT TO RECOMMENDED**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 160,
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/",
- "height": 1000
- },
- "id": "cFGLAQnmBBgp",
- "outputId": "b15dbe22-b40a-40de-e815-d91fe59bf868"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "traveller_type\n"
- ]
- },
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<Figure size 1500x600 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "cabin\n"
- ]
- },
- {
- "data": {
- "image/png": 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- "text/plain": [
- "<Figure size 1500x600 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "overall\n"
- ]
- },
- {
- "data": {
- "image/png": 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- "text/plain": [
- "<Figure size 1500x600 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "seat_comfort\n"
- ]
- },
- {
- "data": {
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- "text/plain": [
- "<Figure size 1500x600 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "cabin_service\n"
- ]
- },
- {
- "data": {
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- "text/plain": [
- "<Figure size 1500x600 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "food_bev\n"
- ]
- },
- {
- "data": {
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",
- "text/plain": [
- "<Figure size 1500x600 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "entertainment\n"
- ]
- },
- {
- "data": {
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",
- "text/plain": [
- "<Figure size 1500x600 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "ground_service\n"
- ]
- },
- {
- "data": {
- "image/png": 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- "text/plain": [
- "<Figure size 1500x600 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "value_for_money\n"
- ]
- },
- {
- "data": {
- "image/png": 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- "text/plain": [
- "<Figure size 1500x600 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "for feature in features_1:\n",
- " print(feature)\n",
- " sns.set_theme(style=\"white\")\n",
- " airline_df.groupby([feature])['recommended'].value_counts().unstack().plot(kind='line',figsize=(15,6),color=['blue','red'])\n",
- " plt.title(f'How recommended Varies with {feature} graph')\n",
- " plt.ylabel(' Value Count')\n",
- " plt.xlabel(feature)\n",
- " plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 161,
- "metadata": {
- "id": "bGT9lH07Jslz"
- },
- "outputs": [],
- "source": [
- "airline_df.drop([\"airline\"], axis = 1, inplace = True)\n",
- "\n",
- "# Dropping the 'airline' column as it is no more needed for further predictive analysis."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "6bzFMOfFpxxF"
- },
- "source": [
- "**ONE HOT ENCODING**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 162,
- "metadata": {
- "id": "wYLkkdmxJ6ZE"
- },
- "outputs": [],
- "source": [
- "traveller_type = pd.get_dummies(airline_df['traveller_type'],drop_first=True)\n",
- "airline_df = pd.concat([airline_df,traveller_type],axis='columns')\n",
- "\n",
- "cabin = pd.get_dummies(airline_df['cabin'],drop_first=True)\n",
- "airline_df = pd.concat([airline_df,cabin],axis='columns')\n",
- "\n",
- "airline_df.drop(['traveller_type','cabin'],axis=1,inplace=True)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "fJ-jMaUTntnK"
- },
- "source": [
- "## **Model Preparation**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 163,
- "metadata": {
- "id": "C2WHHqiRDD_r"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "recommended\n",
- "0 15817\n",
- "1 13914\n",
- "Name: count, dtype: int64\n"
- ]
- }
- ],
- "source": [
- "# Segregating dependent variable (target variable) and independent variables (input variable)\n",
- "X = airline_df.drop(['recommended'], axis=1)\n",
- "Y = airline_df['recommended']\n",
- "print(Y.value_counts())"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 164,
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/"
- },
- "id": "A30jA8AqHljo",
- "outputId": "4d81ee21-81b2-40d0-97d1-3688a602bea6"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "53.200363257206284"
- ]
- },
- "execution_count": 164,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "Y.value_counts()[0]/len(Y)*100"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 165,
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/"
- },
- "id": "a8U7ygtoHrSE",
- "outputId": "d3fa3f98-1bdd-4e43-cd92-0a9869605524"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "46.799636742793716"
- ]
- },
- "execution_count": 165,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "Y.value_counts()[1]/len(Y)*100"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 166,
- "metadata": {
- "id": "nJ9rTJjYHvJv"
- },
- "outputs": [],
- "source": [
- "# Splitting the data.\n",
- "X_train, X_test, Y_train, Y_test = train_test_split(X,Y, test_size = 0.2, random_state = 0)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 167,
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/"
- },
- "id": "88KiMzNHHx3t",
- "outputId": "7b6b9a66-c8b4-4578-adea-adb3ed581ec2"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "(23784, 13) (5947, 13)\n",
- "(23784,) (5947,)\n"
- ]
- }
- ],
- "source": [
- "print(X_train.shape, X_test.shape)\n",
- "print(Y_train.shape, Y_test.shape)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/"
- },
- "id": "FLwVC70GH528",
- "outputId": "7b8b329b-250f-4cfb-cb37-35e49bf7190e"
- },
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 168,
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/"
- },
- "id": "ftV10VLMRmYr",
- "outputId": "4fe2b0be-4517-4371-da18-458f79e3df01"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Distribution of classes of dependent variable in train :\n",
- "recommended\n",
- "0 12681\n",
- "1 11103\n",
- "Name: count, dtype: int64\n",
- "\n",
- " Distribution of classes of dependent variable in test :\n",
- "recommended\n",
- "0 3136\n",
- "1 2811\n",
- "Name: count, dtype: int64\n"
- ]
- }
- ],
- "source": [
- "print(\"Distribution of classes of dependent variable in train :\")\n",
- "print(Y_train.value_counts())\n",
- "\n",
- "print(\"\\n Distribution of classes of dependent variable in test :\")\n",
- "print(Y_test.value_counts())"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "2IQs_IClzNie"
- },
- "source": [
- "**EVALUATION METRICS FOR CLASSIFICATION**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 169,
- "metadata": {
- "id": "kULpJOi8H8Sx"
- },
- "outputs": [],
- "source": [
- "# Evaluation metrics dataframe.\n",
- "column_names = [\"MODEL NAME\", \"ACCURACY\", \"RECALL\", \"PRECISION\", \"F1-SCORE\", \"ROC AUC SCORE\"]\n",
- "metrics_df = pd.DataFrame(columns=column_names)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 170,
- "metadata": {
- "id": "cQbmgg_ZIHD3"
- },
- "outputs": [],
- "source": [
- "def add_metrics_details(model_name, Y_test, Y_pred, df):\n",
- " new_row = pd.DataFrame({\n",
- " 'MODEL NAME': [model_name],\n",
- " 'ACCURACY': [accuracy_score(Y_test, Y_pred)],\n",
- " 'RECALL': [recall_score(Y_test, Y_pred)],\n",
- " 'PRECISION': [precision_score(Y_test, Y_pred)],\n",
- " 'F1-SCORE': [f1_score(Y_test, Y_pred)],\n",
- " 'ROC AUC SCORE': [roc_auc_score(Y_test, Y_pred)]\n",
- " })\n",
- " return pd.concat([df, new_row], ignore_index=True)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "ZRcFhbtQ7m6z"
- },
- "source": [
- "## **MODEL IMPLEMENTATION**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 171,
- "metadata": {
- "id": "ANv9nzxoh9Nk"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<style>#sk-container-id-7 {color: black;}#sk-container-id-7 pre{padding: 0;}#sk-container-id-7 div.sk-toggleable {background-color: white;}#sk-container-id-7 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-7 label.sk-toggleable__label-arrow:before {content: \"â–¸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-7 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-7 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-7 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-7 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-7 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-7 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"â–¾\";}#sk-container-id-7 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 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-7 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-7 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-7 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-7 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 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-7 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-7 div.sk-item {position: relative;z-index: 1;}#sk-container-id-7 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-7 div.sk-item::before, #sk-container-id-7 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-7 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-7 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-7 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-7 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-7 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-7 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-7 div.sk-label-container {text-align: center;}#sk-container-id-7 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-7 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-7\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>DecisionTreeClassifier()</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\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-13\" type=\"checkbox\" checked><label for=\"sk-estimator-id-13\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier()</pre></div></div></div></div></div>"
- ],
- "text/plain": [
- "DecisionTreeClassifier()"
- ]
- },
- "execution_count": 171,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# 1. Decision Tree Model\n",
- "tree_classify = DecisionTreeClassifier()\n",
- "tree_classify.fit(X_train, Y_train)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 172,
- "metadata": {
- "id": "b235fa57",
- "outputId": "dbeba9ca-8145-4516-a3d8-2d66e8587c5f",
- "scrolled": true
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Training Accuracy of Decision Tree Model: 0.9953329969727548\n",
- "Testing Accuracy of Decision Tree Model: 0.9250042038002354\n"
- ]
- }
- ],
- "source": [
- "print(\"Training Accuracy of Decision Tree Model:\", tree_classify.score(X_train, Y_train))\n",
- "print(\"Testing Accuracy of Decision Tree Model:\", tree_classify.score(X_test, Y_test))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 173,
- "metadata": {
- "id": "ab8bfa30",
- "outputId": "f0b726bd-92fe-4f09-8acb-fc857cd35af7",
- "scrolled": true
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Cross-validation Accuracy of Decision Tree Model: \n",
- " [0.91306541 0.92213253 0.92768248 0.91523713 0.94635049]\n",
- "Mean Cross-validation Accuracy of Decision Tree Model: \n",
- " 0.9248936069488352\n"
- ]
- }
- ],
- "source": [
- "# Cross-validation for Decision Tree\n",
- "cv_scores = cross_val_score(tree_classify, X, Y, cv=5, scoring='accuracy')\n",
- "print(\"Cross-validation Accuracy of Decision Tree Model: \\n\", cv_scores)\n",
- "print(\"Mean Cross-validation Accuracy of Decision Tree Model: \\n\", cv_scores.mean())"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 174,
- "metadata": {
- "id": "33629d40"
- },
- "outputs": [],
- "source": [
- "parameters = {\"criterion\": [\"gini\", \"entropy\"], \"max_depth\": [5, 7], \"min_samples_split\": [5, 7], \"min_samples_leaf\": [2, 3]}\n",
- "scoring_ = ['f1', 'recall', 'precision', 'accuracy']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 175,
- "metadata": {
- "id": "b424a17b",
- "outputId": "2486b767-d83f-4e1e-a35e-5a6eb55a0922"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<style>#sk-container-id-8 {color: black;}#sk-container-id-8 pre{padding: 0;}#sk-container-id-8 div.sk-toggleable {background-color: white;}#sk-container-id-8 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-8 label.sk-toggleable__label-arrow:before {content: \"â–¸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-8 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-8 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-8 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-8 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-8 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-8 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"â–¾\";}#sk-container-id-8 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-8 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-8 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-8 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-8 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-8 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-8 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-8 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-8 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-8 div.sk-item {position: relative;z-index: 1;}#sk-container-id-8 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-8 div.sk-item::before, #sk-container-id-8 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-8 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-8 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-8 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-8 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-8 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-8 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-8 div.sk-label-container {text-align: center;}#sk-container-id-8 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-8 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-8\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>GridSearchCV(cv=5, estimator=DecisionTreeClassifier(),\n",
- " param_grid={'criterion': ['gini', 'entropy'], 'max_depth': [5, 7],\n",
- " 'min_samples_leaf': [2, 3],\n",
- " 'min_samples_split': [5, 7]},\n",
- " refit='accuracy',\n",
- " scoring=['f1', 'recall', 'precision', 'accuracy'])</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-14\" type=\"checkbox\" ><label for=\"sk-estimator-id-14\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">GridSearchCV</label><div class=\"sk-toggleable__content\"><pre>GridSearchCV(cv=5, estimator=DecisionTreeClassifier(),\n",
- " param_grid={'criterion': ['gini', 'entropy'], 'max_depth': [5, 7],\n",
- " 'min_samples_leaf': [2, 3],\n",
- " 'min_samples_split': [5, 7]},\n",
- " refit='accuracy',\n",
- " scoring=['f1', 'recall', 'precision', 'accuracy'])</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-15\" type=\"checkbox\" ><label for=\"sk-estimator-id-15\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">estimator: DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier()</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-16\" type=\"checkbox\" ><label for=\"sk-estimator-id-16\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier()</pre></div></div></div></div></div></div></div></div></div></div>"
- ],
- "text/plain": [
- "GridSearchCV(cv=5, estimator=DecisionTreeClassifier(),\n",
- " param_grid={'criterion': ['gini', 'entropy'], 'max_depth': [5, 7],\n",
- " 'min_samples_leaf': [2, 3],\n",
- " 'min_samples_split': [5, 7]},\n",
- " refit='accuracy',\n",
- " scoring=['f1', 'recall', 'precision', 'accuracy'])"
- ]
- },
- "execution_count": 175,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "#performing hyperparameter tuning using gridsearchcv\n",
- "tree_cv = GridSearchCV(estimator=tree_classify, param_grid=parameters, scoring=scoring_, cv=5, refit='accuracy')\n",
- "tree_cv.fit(X_train, Y_train)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 176,
- "metadata": {
- "id": "1f18bc90",
- "outputId": "1a49b7c0-2fda-451f-bd6c-4868fa41fd99"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "{'criterion': 'entropy',\n",
- " 'max_depth': 5,\n",
- " 'min_samples_leaf': 2,\n",
- " 'min_samples_split': 5}"
- ]
- },
- "execution_count": 176,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "tree_cv.best_params_"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 177,
- "metadata": {
- "id": "d0505bf0",
- "outputId": "ab3c3433-5864-4b51-ae80-ab40560d62ac"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "0.9511436203174888"
- ]
- },
- "execution_count": 177,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "tree_cv.best_score_"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 178,
- "metadata": {
- "id": "d4af37e2",
- "outputId": "d571539f-3e83-44d1-8271-19d570f77915"
- },
- "outputs": [
- {
- "data": {
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- "<style>#sk-container-id-9 {color: black;}#sk-container-id-9 pre{padding: 0;}#sk-container-id-9 div.sk-toggleable {background-color: white;}#sk-container-id-9 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-9 label.sk-toggleable__label-arrow:before {content: \"â–¸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-9 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-9 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-9 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-9 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-9 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-9 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"â–¾\";}#sk-container-id-9 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-9 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-9 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-9 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-9 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-9 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-9 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-9 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-9 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-9 div.sk-item {position: relative;z-index: 1;}#sk-container-id-9 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-9 div.sk-item::before, #sk-container-id-9 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-9 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-9 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-9 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-9 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-9 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-9 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-9 div.sk-label-container {text-align: center;}#sk-container-id-9 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-9 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-9\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>DecisionTreeClassifier(criterion='entropy', max_depth=5, min_samples_leaf=2,\n",
- " min_samples_split=5)</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\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-17\" type=\"checkbox\" checked><label for=\"sk-estimator-id-17\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(criterion='entropy', max_depth=5, min_samples_leaf=2,\n",
- " min_samples_split=5)</pre></div></div></div></div></div>"
- ],
- "text/plain": [
- "DecisionTreeClassifier(criterion='entropy', max_depth=5, min_samples_leaf=2,\n",
- " min_samples_split=5)"
- ]
- },
- "execution_count": 178,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "#Fitting an best parameters to Decision tree Model\n",
- "final_tree_after_hyper_param_tune = tree_cv.best_estimator_\n",
- "final_tree_after_hyper_param_tune.fit(X_train, Y_train)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 256,
- "metadata": {},
- "outputs": [],
- "source": [
- "Y_pred_tree = tree_classify.predict(X_test)\n",
- "Y_prob_tree = tree_classify.predict_proba(X_test)[:, 1]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 179,
- "metadata": {
- "id": "40e897f8",
- "outputId": "1b4cf01c-00d9-4417-d7a2-9f1610355dd8"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " precision recall f1-score support\n",
- "\n",
- " 0 0.95 0.96 0.95 3136\n",
- " 1 0.95 0.94 0.95 2811\n",
- "\n",
- " accuracy 0.95 5947\n",
- " macro avg 0.95 0.95 0.95 5947\n",
- "weighted avg 0.95 0.95 0.95 5947\n",
- "\n"
- ]
- }
- ],
- "source": [
- "# Evaluation of the decision tree model\n",
- "Y_pred = final_tree_after_hyper_param_tune.predict(X_test)\n",
- "print(classification_report(Y_test, Y_pred))\n",
- "cm = confusion_matrix(Y_test, Y_pred)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 180,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Accuracy of the Model: 95.08996132503783%\n",
- "\n"
- ]
- },
- {
- "data": {
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",
- "text/plain": [
- "<Figure size 1000x500 with 2 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "print(\"Accuracy of the Model: {}%\\n\".format((accuracy_score(Y_test, Y_pred)) * 100))\n",
- "plt.figure(figsize=(10, 5))\n",
- "sns.heatmap(cm, annot=True, fmt=\".1f\", cmap=\"Blues\")\n",
- "plt.title(\"Confusion Matrix for Decision Tree Model\")\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 181,
- "metadata": {},
- "outputs": [],
- "source": [
- "metrics_df = add_metrics_details(\"Decision Tree Model\", Y_test, Y_pred, metrics_df)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "e6d2e6c8"
- },
- "source": [
- "**2. K-Nearest Neighbour Model**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 182,
- "metadata": {
- "id": "eed30370",
- "outputId": "dd496ed7-40d8-43fe-89ac-37f78f6dd762"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
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- ],
- "text/plain": [
- "KNeighborsClassifier()"
- ]
- },
- "execution_count": 182,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# KNN model implementation.\n",
- "knn_classify = KNeighborsClassifier()\n",
- "knn_classify.fit(X_train, Y_train)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 183,
- "metadata": {
- "id": "5371acc9",
- "outputId": "9b4391ef-d576-47ae-dbb3-116391332514"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Training Accuracy of KNN Model: 0.9598469559367642\n",
- "Testing Accuracy of KNN Model: 0.9487136371279636\n"
- ]
- }
- ],
- "source": [
- "print(\"Training Accuracy of KNN Model:\", knn_classify.score(X_train, Y_train))\n",
- "print(\"Testing Accuracy of KNN Model:\", knn_classify.score(X_test, Y_test))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 184,
- "metadata": {
- "id": "545ac715"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Cross-validation Accuracy of KNN Model: \n",
- " [0.93845636 0.94651867 0.94685503 0.94315506 0.96131853]\n",
- "Mean Cross-validation Accuracy of KNN Model: \n",
- " 0.9472607313701799\n"
- ]
- }
- ],
- "source": [
- "# Cross-validation for KNN\n",
- "cv_scores = cross_val_score(knn_classify, X, Y, cv=5, scoring='accuracy')\n",
- "print(\"Cross-validation Accuracy of KNN Model: \\n\", cv_scores)\n",
- "print(\"Mean Cross-validation Accuracy of KNN Model: \\n\", cv_scores.mean())"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 185,
- "metadata": {
- "id": "c9443b7b",
- "outputId": "09c20dd7-7e4d-4407-d1a9-9d23a80f418a"
- },
- "outputs": [],
- "source": [
- "# Hyperparameter tuning.\n",
- "parameters = {\"n_neighbors\": [5, 7, 9], \"weights\": [\"uniform\", \"distance\"], \"metric\": [\"euclidean\", \"manhattan\", \"minkowski\"]}\n",
- "scoring_ = ['f1', 'recall', 'precision', 'accuracy']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 186,
- "metadata": {
- "id": "dc7a01e5",
- "outputId": "2cc84915-7e2a-4c8c-cb66-d7249a873006"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<style>#sk-container-id-11 {color: black;}#sk-container-id-11 pre{padding: 0;}#sk-container-id-11 div.sk-toggleable {background-color: white;}#sk-container-id-11 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-11 label.sk-toggleable__label-arrow:before {content: \"â–¸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-11 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-11 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-11 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-11 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-11 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-11 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"â–¾\";}#sk-container-id-11 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-11 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-11 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-11 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-11 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-11 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-11 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-11 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-11 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-11 div.sk-item {position: relative;z-index: 1;}#sk-container-id-11 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-11 div.sk-item::before, #sk-container-id-11 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-11 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-11 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-11 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-11 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-11 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-11 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-11 div.sk-label-container {text-align: center;}#sk-container-id-11 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-11 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-11\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>GridSearchCV(cv=5, estimator=KNeighborsClassifier(),\n",
- " param_grid={'metric': ['euclidean', 'manhattan', 'minkowski'],\n",
- " 'n_neighbors': [5, 7, 9],\n",
- " 'weights': ['uniform', 'distance']},\n",
- " refit='accuracy',\n",
- " scoring=['f1', 'recall', 'precision', 'accuracy'])</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-19\" type=\"checkbox\" ><label for=\"sk-estimator-id-19\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">GridSearchCV</label><div class=\"sk-toggleable__content\"><pre>GridSearchCV(cv=5, estimator=KNeighborsClassifier(),\n",
- " param_grid={'metric': ['euclidean', 'manhattan', 'minkowski'],\n",
- " 'n_neighbors': [5, 7, 9],\n",
- " 'weights': ['uniform', 'distance']},\n",
- " refit='accuracy',\n",
- " scoring=['f1', 'recall', 'precision', 'accuracy'])</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-20\" type=\"checkbox\" ><label for=\"sk-estimator-id-20\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">estimator: KNeighborsClassifier</label><div class=\"sk-toggleable__content\"><pre>KNeighborsClassifier()</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-21\" type=\"checkbox\" ><label for=\"sk-estimator-id-21\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">KNeighborsClassifier</label><div class=\"sk-toggleable__content\"><pre>KNeighborsClassifier()</pre></div></div></div></div></div></div></div></div></div></div>"
- ],
- "text/plain": [
- "GridSearchCV(cv=5, estimator=KNeighborsClassifier(),\n",
- " param_grid={'metric': ['euclidean', 'manhattan', 'minkowski'],\n",
- " 'n_neighbors': [5, 7, 9],\n",
- " 'weights': ['uniform', 'distance']},\n",
- " refit='accuracy',\n",
- " scoring=['f1', 'recall', 'precision', 'accuracy'])"
- ]
- },
- "execution_count": 186,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "knn_cv = GridSearchCV(estimator=knn_classify, param_grid=parameters, scoring=scoring_, cv=5, refit='accuracy')\n",
- "knn_cv.fit(X_train, Y_train)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 187,
- "metadata": {
- "id": "487d5448"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "{'metric': 'manhattan', 'n_neighbors': 9, 'weights': 'uniform'}"
- ]
- },
- "execution_count": 187,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "knn_cv.best_params_"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 188,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "0.95118562826187"
- ]
- },
- "execution_count": 188,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "knn_cv.best_score_"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 189,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<style>#sk-container-id-12 {color: black;}#sk-container-id-12 pre{padding: 0;}#sk-container-id-12 div.sk-toggleable {background-color: white;}#sk-container-id-12 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-12 label.sk-toggleable__label-arrow:before {content: \"â–¸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-12 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-12 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-12 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-12 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-12 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-12 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"â–¾\";}#sk-container-id-12 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-12 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-12 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-12 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-12 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-12 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-12 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-12 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-12 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-12 div.sk-item {position: relative;z-index: 1;}#sk-container-id-12 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-12 div.sk-item::before, #sk-container-id-12 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-12 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-12 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-12 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-12 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-12 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-12 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-12 div.sk-label-container {text-align: center;}#sk-container-id-12 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-12 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-12\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>KNeighborsClassifier(metric='manhattan', n_neighbors=9)</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\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-22\" type=\"checkbox\" checked><label for=\"sk-estimator-id-22\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">KNeighborsClassifier</label><div class=\"sk-toggleable__content\"><pre>KNeighborsClassifier(metric='manhattan', n_neighbors=9)</pre></div></div></div></div></div>"
- ],
- "text/plain": [
- "KNeighborsClassifier(metric='manhattan', n_neighbors=9)"
- ]
- },
- "execution_count": 189,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "final_knn_after_hyper_param_tune = knn_cv.best_estimator_\n",
- "final_knn_after_hyper_param_tune.fit(X_train, Y_train)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 190,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " precision recall f1-score support\n",
- "\n",
- " 0 0.95 0.96 0.96 3136\n",
- " 1 0.96 0.94 0.95 2811\n",
- "\n",
- " accuracy 0.95 5947\n",
- " macro avg 0.95 0.95 0.95 5947\n",
- "weighted avg 0.95 0.95 0.95 5947\n",
- "\n"
- ]
- }
- ],
- "source": [
- "Y_pred = final_knn_after_hyper_param_tune.predict(X_test)\n",
- "print(classification_report(Y_test, Y_pred))\n",
- "cm = confusion_matrix(Y_test, Y_pred)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 257,
- "metadata": {},
- "outputs": [],
- "source": [
- "Y_pred_knn = knn_classify.predict(X_test)\n",
- "Y_prob_knn = knn_classify.predict_proba(X_test)[:, 1]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 191,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Accuracy of the Model: 95.25811333445434%\n",
- "\n"
- ]
- },
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<Figure size 1000x500 with 2 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "print(\"Accuracy of the Model: {}%\\n\".format((accuracy_score(Y_test, Y_pred)) * 100))\n",
- "plt.figure(figsize=(10, 5))\n",
- "sns.heatmap(cm, annot=True, fmt=\".1f\", cmap=\"Blues\")\n",
- "plt.title(\"Confusion Matrix for KNN Model\")\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 192,
- "metadata": {},
- "outputs": [],
- "source": [
- "metrics_df = add_metrics_details(\"KNN Model\", Y_test, Y_pred, metrics_df)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "44bb36cb"
- },
- "source": [
- "**3. Support Vector Machine**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 259,
- "metadata": {
- "id": "e0f3952f",
- "outputId": "19a0bf12-4e8f-428c-e89a-5910214e57b4"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<style>#sk-container-id-16 {color: black;}#sk-container-id-16 pre{padding: 0;}#sk-container-id-16 div.sk-toggleable {background-color: white;}#sk-container-id-16 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-16 label.sk-toggleable__label-arrow:before {content: \"â–¸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-16 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-16 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-16 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-16 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-16 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-16 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"â–¾\";}#sk-container-id-16 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-16 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-16 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-16 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-16 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-16 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-16 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-16 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-16 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-16 div.sk-item {position: relative;z-index: 1;}#sk-container-id-16 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-16 div.sk-item::before, #sk-container-id-16 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-16 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-16 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-16 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-16 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-16 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-16 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-16 div.sk-label-container {text-align: center;}#sk-container-id-16 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-16 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-16\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>SVC(C=1, gamma=0.01, probability=True)</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\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-28\" type=\"checkbox\" checked><label for=\"sk-estimator-id-28\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">SVC</label><div class=\"sk-toggleable__content\"><pre>SVC(C=1, gamma=0.01, probability=True)</pre></div></div></div></div></div>"
- ],
- "text/plain": [
- "SVC(C=1, gamma=0.01, probability=True)"
- ]
- },
- "execution_count": 259,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "from sklearn.svm import SVC\n",
- "from sklearn.model_selection import GridSearchCV, RandomizedSearchCV\n",
- "svm_model = SVC(probability=True, kernel='rbf', gamma=0.01, C=1)\n",
- "svm_model.fit(X_train, Y_train)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 194,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Training Accuracy of SVM Model: 0.9536242852337706\n",
- "Testing Accuracy of SVM Model: 0.9522448293257104\n"
- ]
- }
- ],
- "source": [
- "\n",
- "print(\"Training Accuracy of SVM Model:\", svm_model.score(X_train, Y_train))\n",
- "print(\"Testing Accuracy of SVM Model:\", svm_model.score(X_test, Y_test))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 195,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Cross-validation Accuracy of SVM Model: \n",
- " [0.94081049 0.95072318 0.95324588 0.95173226 0.96451396]\n",
- "Mean Cross-validation Accuracy of SVM Model: \n",
- " 0.9522051526911307\n"
- ]
- }
- ],
- "source": [
- "# Cross-validation for SVM\n",
- "cv_scores = cross_val_score(svm_model, X, Y, cv=5, scoring='accuracy')\n",
- "print(\"Cross-validation Accuracy of SVM Model: \\n\", cv_scores)\n",
- "print(\"Mean Cross-validation Accuracy of SVM Model: \\n\", cv_scores.mean())\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 196,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<style>#sk-container-id-14 {color: black;}#sk-container-id-14 pre{padding: 0;}#sk-container-id-14 div.sk-toggleable {background-color: white;}#sk-container-id-14 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-14 label.sk-toggleable__label-arrow:before {content: \"â–¸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-14 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-14 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-14 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-14 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-14 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-14 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"â–¾\";}#sk-container-id-14 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-14 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-14 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-14 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-14 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-14 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-14 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-14 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-14 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-14 div.sk-item {position: relative;z-index: 1;}#sk-container-id-14 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-14 div.sk-item::before, #sk-container-id-14 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-14 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-14 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-14 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-14 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-14 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-14 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-14 div.sk-label-container {text-align: center;}#sk-container-id-14 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-14 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-14\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomizedSearchCV(cv=3, estimator=SVC(), n_iter=5, n_jobs=-1,\n",
- " param_distributions={'C': [0.1, 1, 10], 'gamma': [0.1, 0.01],\n",
- " 'kernel': ['rbf', 'poly']},\n",
- " random_state=0)</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-24\" type=\"checkbox\" ><label for=\"sk-estimator-id-24\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomizedSearchCV</label><div class=\"sk-toggleable__content\"><pre>RandomizedSearchCV(cv=3, estimator=SVC(), n_iter=5, n_jobs=-1,\n",
- " param_distributions={'C': [0.1, 1, 10], 'gamma': [0.1, 0.01],\n",
- " 'kernel': ['rbf', 'poly']},\n",
- " random_state=0)</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-25\" type=\"checkbox\" ><label for=\"sk-estimator-id-25\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">estimator: SVC</label><div class=\"sk-toggleable__content\"><pre>SVC()</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-26\" type=\"checkbox\" ><label for=\"sk-estimator-id-26\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">SVC</label><div class=\"sk-toggleable__content\"><pre>SVC()</pre></div></div></div></div></div></div></div></div></div></div>"
- ],
- "text/plain": [
- "RandomizedSearchCV(cv=3, estimator=SVC(), n_iter=5, n_jobs=-1,\n",
- " param_distributions={'C': [0.1, 1, 10], 'gamma': [0.1, 0.01],\n",
- " 'kernel': ['rbf', 'poly']},\n",
- " random_state=0)"
- ]
- },
- "execution_count": 196,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Hyperparameter tuning using GridSearchCV\n",
- "svm_params = {'C': [0.1, 1, 10], 'gamma': [0.1, 0.01], 'kernel': ['rbf', 'poly']}\n",
- "svm_cv = RandomizedSearchCV(svm_model, svm_params, n_iter=5, cv=3, random_state=0, n_jobs=-1)\n",
- "svm_cv.fit(X_train, Y_train)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 197,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Best Parameters: {'kernel': 'rbf', 'gamma': 0.01, 'C': 1}\n",
- "Best Score: 0.9529515640766902\n"
- ]
- }
- ],
- "source": [
- "# Best parameters and best score after hyperparameter tuning.\n",
- "print(\"Best Parameters: \", svm_cv.best_params_)\n",
- "print(\"Best Score: \", svm_cv.best_score_)\n",
- "\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 198,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<style>#sk-container-id-15 {color: black;}#sk-container-id-15 pre{padding: 0;}#sk-container-id-15 div.sk-toggleable {background-color: white;}#sk-container-id-15 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-15 label.sk-toggleable__label-arrow:before {content: \"â–¸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-15 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-15 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-15 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-15 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-15 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-15 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"â–¾\";}#sk-container-id-15 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-15 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-15 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-15 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-15 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-15 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-15 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-15 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-15 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-15 div.sk-item {position: relative;z-index: 1;}#sk-container-id-15 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-15 div.sk-item::before, #sk-container-id-15 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-15 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-15 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-15 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-15 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-15 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-15 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-15 div.sk-label-container {text-align: center;}#sk-container-id-15 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-15 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-15\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>SVC(C=1, gamma=0.01)</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\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-27\" type=\"checkbox\" checked><label for=\"sk-estimator-id-27\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">SVC</label><div class=\"sk-toggleable__content\"><pre>SVC(C=1, gamma=0.01)</pre></div></div></div></div></div>"
- ],
- "text/plain": [
- "SVC(C=1, gamma=0.01)"
- ]
- },
- "execution_count": 198,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Fitting the model with the best parameters.\n",
- "final_svm_after_hyper_param_tune = svm_cv.best_estimator_\n",
- "final_svm_after_hyper_param_tune.fit(X_train, Y_train)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 199,
- "metadata": {
- "id": "919bf13d",
- "outputId": "9e0b8e70-3ea0-4cd9-9c32-b8657ad993a1"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " precision recall f1-score support\n",
- "\n",
- " 0 0.95 0.96 0.96 3136\n",
- " 1 0.96 0.94 0.95 2811\n",
- "\n",
- " accuracy 0.95 5947\n",
- " macro avg 0.95 0.95 0.95 5947\n",
- "weighted avg 0.95 0.95 0.95 5947\n",
- "\n"
- ]
- }
- ],
- "source": [
- "Y_pred = final_svm_after_hyper_param_tune.predict(X_test)\n",
- "\n",
- "print(classification_report(Y_test, Y_pred))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 260,
- "metadata": {},
- "outputs": [],
- "source": [
- "Y_pred_svm = svm_model.predict(X_test)\n",
- "Y_prob_svm = svm_model.predict_proba(X_test)[:, 1]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 200,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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jQ++//74sFosqVqyoZ599VnPnzlXZsmXVvn17/fHHH5o9e7bq1KmjRx555Lrm0rZtW3344YcaPXq0Hn30Uesc/vwFVGFhYRo/frymTp2qVq1aKT09XXPnzlWtWrWK3VqyX79+Wr16tfr166chQ4aoUqVK+vzzz/V///d/evPNN6/5prskHTt21AcffKCKFSuqWbNmxfZp1KiRYmJi9P777yskJERJSUl67733lJOTY7NmwcfHRwkJCdq+fbsaNWpk1/VPnz6t8ePHq0WLFtadex566CFNnTpVLVq0KFLrXpIhQ4Zo06ZNeuqpp/Tss8/Kzc1NS5cu1dGjR7VgwQK7xihUpkwZTZgwQc8//7wiIiLUu3dvBQQEKDMzU1u2bNFHH32kF154wZqBKnTnnXcqNDRUU6ZMUV5eXrE1/H/VoUMHjR8/XkuWLNGYMWMMzfOv7Hkv7fn9uvPOO/XYY49p5syZys3N1T333KMvvvhCe/bssRnrxRdf1LPPPquXXnpJ3bt3V15enhYuXKhff/1Vzz333HU9FwAobQgIgFLmueeeU1BQkD766CNNmTJFZ8+elb+/v1q1aqVBgwbptttus/aNjo5WlSpVtHTpUi1fvlwVK1ZUx44dNWzYsBK3LrVXixYt9Morr+jDDz/UunXrVL9+fc2dO1ePP/64tc/jjz+uS5cuadmyZfr444/l4eGh5s2ba8SIEcWWdPj5+emTTz7R22+/rcmTJ+vSpUuqV6+eYmJibBZ5Okrnzp0VGxurTp06lRhsDBw4UGfOnNEHH3ygf/zjH6pevboefvhhWSwWvffeezp37pwqVKigqKgovfnmm+rfv78WLVpk1/UnTpyojIwMTZw40XrstddeU+fOnTV69Gh98MEHslgsVx3n7rvv1scff6wZM2Zo9OjRslgsatSokT744AM1bdrUvhfjT9q0aaNPP/1UsbGx1gXUbm5uCgoK0syZM/Xggw8We15ERIReeeUV9ejRw2aBc0l8fHzUsmVL/fTTT8XuRmSEPe+lvb9f48ePt/5/c+7cOYWHh2vQoEGaNWuWtU/Lli0VGxuruXPnaujQoSpbtqzq16+vRYsWGdqJCwBuBZaC611VCAAAAOCWxRoCAAAAwIkREAAAAABOjIAAAAAAcGIEBAAAAIATIyAAAAAAnBgBAQAAAHADpKWlacSIEQoLC1Pjxo317LPPav/+/db23bt3KzIyUiEhIWrTpo1iY2Ntzs/Pz9ecOXMUHh6u4OBgRUVFKSkpyabP1cawBwEBAAAAcAM899xzOnr0qObPn68VK1bIw8NDffv2VWZmps6cOaN+/fqpVq1aWrlypaKjozV79mytXLnSen5MTIyWLVumSZMmKS4uThaLRQMGDFBOTo4k2TWGPUrlF5N5Nh5ys6cAAA51Zsfcmz0FAHAoj1J5F3mZI+8lM3++tr+/z5w5o5o1a+q5557T3XffLUkaPHiwHn74Ye3bt09bt26Vm5ubJkyYIFdXVwUEBCgpKUnz589XRESEcnJytHDhQo0YMUKtW7eWJM2cOVPh4eFav369unTpok8//fSKY9iLDAEAAADMxeLiuMc1qlSpkmbMmGENBk6dOqXY2Fj5+/urTp06io+PV2hoqFxd/xtZhYWF6dChQ0pLS1NiYqIyMjIUFhZmbffx8VFQUJB27NghSVcdw16lOLYDAAAAbq727dtfsX3jxo1XHeO1116zfpr/7rvvysvLS8nJyapbt65Nv6pVq0qSjh8/ruTkZElS9erVi/Q5ceKEJF11DF9f36vOTSJDAAAAALOxWBz3cICnn35aK1euVPfu3fX888/r999/V1ZWltzc3Gz6ubu7S5Kys7OVmZkpScX2yc7OlqSrjmEvMgQAAAAwl+so9fkrezIAV1OnTh1J0htvvKFffvlFS5culYeHh3VxcKHCm3gvLy95eHhIknJycqw/F/bx9PSUpKuOYS8yBAAAAICDpaWl6auvvlJeXp71mIuLiwICApSamip/f3+lpqbanFP452rVqllLhYrr4+/vL0lXHcNeBAQAAAAwl1JQMpSamqqXXnpJ27dvtx67dOmSEhISFBAQoNDQUO3cudMmYNi6datq164tX19f1atXT97e3tq2bZu1PT09XQkJCWratKkkXXUMexEQAAAAwFxKwS5D9erVU8uWLTVx4kTFx8dr7969euWVV5Senq6+ffsqIiJCFy5c0JgxY7R//36tWrVKS5Ys0cCBAyVdXjsQGRmp6dOna+PGjUpMTNTw4cPl7++vDh06SNJVx7D75SooKCi45md6g/A9BADMhu8hAGA2pfp7CJq97LCxMrdPv+Zzz58/r7ffflsbNmzQ+fPn1bRpU7366qvWrUh/++03TZ48WQkJCfLz81NUVJQiIyOt5+fl5WnGjBlatWqVsrKyFBoaqnHjxqlmzZrWPlcbwx4EBADwP0BAAMBsSnVAcN8Ih42VuW2aw8YqrUrxWwkAAABcAwfuMuQMeLUAAAAAJ0aGAAAAAObioC8UcxYEBAAAADAXSoYM4dUCAAAAnBgZAgAAAJgLJUOGEBAAAADAXCgZMoRXCwAAAHBiZAgAAABgLpQMGUJAAAAAAHOhZMgQXi0AAADAiZEhAAAAgLmQITCEgAAAAADm4sIaAiMInwAAAAAnRoYAAAAA5kLJkCEEBAAAADAXth01hPAJAAAAcGJkCAAAAGAulAwZQkAAAAAAc6FkyBDCJwAAAMCJkSEAAACAuVAyZAgBAQAAAMyFkiFDCJ8AAAAAJ0aGAAAAAOZCyZAhBAQAAAAwF0qGDCF8AgAAAJwYGQIAAACYCyVDhhAQAAAAwFwoGTKE8AkAAABwYmQIAAAAYC6UDBlCQAAAAABzISAwhFcLAAAAcGJkCAAAAGAuLCo2hIAAAAAA5kLJkCG8WgAAAIATI0MAAAAAc6FkyBACAgAAAJgLJUOG8GoBAAAATowMAQAAAMyFkiFDCAgAAABgKhYCAkMoGQIAAACcGBkCAAAAmAoZAmMICAAAAGAuxAOGUDIEAAAAODEyBAAAADAVSoaMISAAAACAqRAQGEPJEAAAAODEyBAAAADAVMgQGENAAAAAAFMhIDCGkiEAAADAiZEhAAAAgLmQIDCEgAAAAACmQsmQMZQMAQAAAE6MDAEAAABMhQyBMWQIAAAAYCoWi8Vhj+tx9uxZjRs3Tq1atVKTJk30xBNPKD4+3to+atQoBQYG2jxatWplbc/Pz9ecOXMUHh6u4OBgRUVFKSkpyeYau3fvVmRkpEJCQtSmTRvFxsYanicBAQAAAHADvPjii/r11181Y8YMrVixQvXr11f//v114MABSdKePXs0aNAgbd682fr4/PPPrefHxMRo2bJlmjRpkuLi4mSxWDRgwADl5ORIks6cOaN+/fqpVq1aWrlypaKjozV79mytXLnS0DwJCAAAAGAqpSFDkJSUpC1btmj8+PFq2rSp7rrrLo0ZM0bVqlXTV199pby8PO3fv18NGzaUn5+f9VG5cmVJUk5OjhYuXKjo6Gi1bt1a9erV08yZM5WSkqL169dLkj799FO5ublpwoQJCggIUEREhPr27av58+cbmisBAQAAAMzF4sDHNapUqZLef/99NWjQ4L/TslhUUFCgc+fO6fDhw8rOzlZAQECx5ycmJiojI0NhYWHWYz4+PgoKCtKOHTskSfHx8QoNDZWr63+XBYeFhenQoUNKS0uze64sKgYAAABK0L59+yu2b9y4sdjjPj4+at26tc2xNWvW6MiRI2rZsqX27t0ri8WiJUuWaNOmTXJxcVHr1q01bNgwlS9fXsnJyZKk6tWr24xRtWpVnThxQpKUnJysunXrFmmXpOPHj8vX19eu50iGAAAAAKZSGkqG/mrnzp0aPXq02rdvr3bt2mnfvn1ycXFRjRo1NG/ePL3yyiv68ccfNXjwYOXn5yszM1OS5ObmZjOOu7u7srOzJUlZWVnFtkuy9rEHGQIAAACYiiNv5EvKABixYcMGvfzyywoODtaMGTMkSdHR0erbt698fHwkSXXr1pWfn58ee+wx7dq1Sx4eHpIuryUo/Fm6fKPv6ekpSfLw8LAuMP5zuyR5eXnZPT8yBAAAAMANsnTpUkVHR6tVq1aaP3++9ebeYrFYg4FCheU/ycnJ1lKh1NRUmz6pqany9/eXJPn7+xfbLknVqlWze44EBAAAADCV0lIy9PHHH+uNN95Q7969NWvWLJvynpdeekn9+/e36b9r1y5JUp06dVSvXj15e3tr27Zt1vb09HQlJCSoadOmkqTQ0FDt3LlTeXl51j5bt25V7dq17V4/IBEQAAAAwGxKwS5Dhw4d0ptvvqkOHTpo4MCBSktL08mTJ3Xy5EmdP39eXbt21ZYtW/Tuu+/qyJEj+vHHHzV69Gh17dpVAQEBcnNzU2RkpKZPn66NGzcqMTFRw4cPl7+/vzp06CBJioiI0IULFzRmzBjt379fq1at0pIlSzRw4EBDc2UNAQAAAOBg3377rS5duqT169dbvzegUM+ePfXWW29p9uzZmjdvnubNm6fy5curW7duGjZsmLXf0KFDlZubq7FjxyorK0uhoaGKjY21Zhp8fX21YMECTZ48WT179pSfn59Gjhypnj17GpqrpaCgoOC6n7GDeTYecrOnAAAOdWbH3Js9BQBwKI9S/LFytWeWO2yslAWPOmys0oqSIQAAAMCJleLYDgAAADDOkduOOgMCAgAAAJgKAYExlAwBAAAATowMAQAAAEyFDIExBAQAAAAwF+IBQygZAgAAAJwYGQIAAACYCiVDxhAQAAAAwFQICIyhZAgAAABwYmQIAAAAYCpkCIwhIAAAAIC5EA8YQskQAAAA4MQICFCqubhY9HK/Dvr3F+N1eusMbYt7VY93DrXpc/edVbVqziAlb5qmP76fqnfHP6kK3p42fWrV8NWHb/XTwXWTlbxpmr5bNFxtmtW16ePt5a7JLzysf38xXqf++bbil4/WwL+1umrasUwZF00c0k371ryh01tn6IclL6l58F2OeQEAOKXkEyfUMqypdmzfZqjtzz76cImC6wfq2LE/rnq9Xb/9pqinIxXWtLHatWqht6dNVU5OzjXPH7jZLBaLwx7OgJIhlGqvD+mu6Mi2ej3mK+1MOKKOLetr0eSnVZBfoLi18arg7ak170XrxMlz6v/aB6paubwmD+uhmtUqqdvgf0iSKvl4af2CYTqTflEjpq1QekaW+vZorq9ihqjjwDnavHO/JGnJlH5q1rCWJs37RnsOJ6t107qaPiJClSp46a35a0uc4/QRvdSn+30aO/sLHTlxWkMj22l1zPNq/sRU7T+S+j95nQCYx/Hjx/Tcs/11/vx5Q21/lpR0WHNmzbDrekePHNGgAf0UHNJY02bM0sGDBzR39kxdOH9e41+fdE3PAbjZnOVG3lEICFBqlfN003OPt9Y7S7/X24s3SJJ+2L5Xje+5Q8890Vpxa+M14G/hqujjpbAnpurUmQuSpGOpZ/XF3MG6P+Qu/fOXg+rTPUxVfcur9VPTdfzkOUnShq2J2h43SsOfekCbd+5XSL2a6tyqgXqPiNWqDT9br1XRx0svPv1AiQFBzWoV1f+RFnp52gq9v/wn69i7vhinF/s+oMGvf3yjXyYAJpGfn6/VX3ymGdP+bqjtr/Ly8vTa6FdVoWJFZSUnX7X/ooUL5FWunGa/E6Oybm4Kb9Vanh4emjL5DQ0Y9Jxuu63GNT0fALcOSoZQamXl5KpN37c1Z+l3NsdzLuXKrezlWLZD83u05V8HrMGAJK3/526lX8jUQy3rS5KOpZzRnKXfWYMBSSooKNDBoyd1V80q1mMLVmzW99v32Fxrf1KqypfzUNXK5YudY5tmgSpbtoy++O4Xm/l9s+nf6vif6wOAPfbu2aPJr09Qt4d7aPJbf7e77a+WLIpVWtopRfV/1q7rbt2yWa1at1FZNzfrsQce7Kj8/Hz9c/Nmo08DKBUoGTKGDAFKrby8fO3ae8z652q+5dXn4eZqd1+gBr/xiSQpsHY1rVz3L5vzCgoKdPh4mu6+s6okaeX6n7Vy/c82fSr5eCm86d36fluiJOmXxD8UPXlZkTk83D5YKWnpOvmngOPP6tX21/mMLKWk2abvDx49qep+FVTO000ZmdThAri66tWr66s161XN37/I+oArtf3Z/v37NC9mrmLeW6Bjf1x97UBWVpaOHz+mO++sbXO8cuXK8vb2VlLS4Wt6LsDN5iw38o5iKCDIzc3VunXrFB8fr+PHjysnJ0eenp7y9/dX06ZN1aFDB7m6EmPA8R7v1FSL3uwrSVrz07+14tudkqSK5T2VfiGrSP8LGdkqX86j2LFcXCyaN763vD3draVIxRka2U7h996tl/++QgUFBcX2qVDeU+kXMoscP3/x8px8vD0JCADYpULFiqpwDW2FcnNz9droV9Qz4lE1DW1mV0Bw/ny6JMnb27tIm1e5csq4UPyHIQDMxe6SoSNHjqhLly4aPXq0EhMT5eHhIT8/P5UtW1a7d+/WqFGj1L17dx0/fvxGzhdOavu/D+uB/jM1+PWPFVLvdn2/+CW5u7nKYrGoQEVv1i0WKT+/6HFXVxctmvy0urcL1ot/X65/JRwp9nrPP9FGU4b3UNyaeP3jkx9KnJeLi0XFxQqW/2yAnJ+fb98TBIDrtOD9eUpPT9cLw1+y+xzr35PFfJhaUFAgiwufsuIWZXHgwwnY/XH+xIkTVbNmTa1YsULlyxetp05PT9fw4cP1+uuva968eQ6dJHDw6CkdPHpKW/51QAf/OKW17w9Vz/YhOnchUz7FZALKebnrWMpZm2MVy3tq2dsDFH5vHQ2b8qkWrChaG2uxWDRleA+90Ke9Pvl6uwaMX3rFeZ07n1lsJsLby/1yezHZCwBwtN27E7Tg/Xn6x7z5cnNzU25urvILLn8gkZ+Xr7y8PJUpU6bIeYX/nmdcyCjSlnnxory9i18/BZR2lAwZY3dAsHPnTsXFxRUbDEiSj4+PRowYod69eztscnBufpW89WDL+lq3+XebGv6dvydJkmr6V9K+w6m663Y/m/MsFotq3earLzb+aj1Ws1pFfRkzRLVq+OrpUYu14i/rDiSprGsZffhWPz3cPkTvLP1OI99eddU57k1KUYXynqpSydtmYfNdt/vp8LFTysq+ZPh5A4BRP3y3UZcuXdKz/fsWaevaqYOahjZT7OIPi7R5eXmparVqOnokyeb46dOndeHCBQUE1LlRUwZQitgdEPj4+Cg1NVWBgYEl9jl+/Lg8PIqv2waMKuflrgWv99G4d1Zr2sJ11uMP3h8kSfpt7zGVLVtGLz7dweaGvMP998jH21Mb/+/yguHy5Tz09bxoVfP1UdfBc7XlXweKvd6CN/qoW9tGGjFtheZ+/INdc/zuP9fo+UCI5i+/nHFwK+uqzq0aaN2WhGt63gBgVMSjf1Or1m1sjm368QfNi5mr2XPfVa1atUo8t/n9LbTpxx/08iuj5PafnYY2rFurMmXKqNl9YTdw1sCNQ4bAGLsDgl69emnUqFEaOnSo7rvvPlWvXl1ubm7KyclRSkqKtm/frunTp6tXr143cr5wIoePpWnpl9s0+tlOys/PV/zvR3Rv0B165ZmHtG5LgtZtSdDO35P03OOt9dW7Q/Tme9+ocsVymvxCD63d/Lu2/XZIkvTaoM6qW6ua3nj3a126lKdmDWtZr5Gdk6tf9/yhrm0a6m8dm+rLH37T9l2HbfpIl3chyrmUqxpVK6pGtYrWPx85cUYfrv4//f2lCHm6u2lfUqqGRrZVBW9Pzfyg5AXLAOBIVatWU9Wq1WyO7d+3T5J0d926qlGjpvX4b7/+okqVKuv2O+6QJPWLekZrv/lagwc+oz5P91PS4cN6Z/YM9Xr0MflXr/6/exKAAxEPGGN3QBAdHS0XFxdNnTpVFy9eLNJerlw59e7dWy+88IJDJwjn9vwbn2hfUqqeeri5xg7qouRT5/SPT37QW/O/lSSlnc1QxwFzNG1EhBZN7qvzF7O0av3PGjXzM+sYPdqHSJJee66LXnuui834ScfTVK/LeGufbm0aqVubRkXmEdh5nI6cOK2+Pe/X2EGdrX+WpCGTluls+kW92PcBeXu56+fdR9X1ubk6ePTUDXhFAOD69HnyMXV/uKfeePMtSVLtuwI0b/5CzZj+d708fKgqVqqkyKf66vlo/j0HnIWloKT9FEtw6dIl7d69WykpKcrMzJSHh4f8/f1Vr149a6rxenk2HuKQcQCgtDizY+7NngIAOJRHKd5p/u4Rax021r5pHR02Vmll+K0sW7asGjUq+gkqAAAAUBpQMmSM3d9DAAAAAMB8SnGyBwAAADCOXYaMISAAAACAqRAPGEPJEAAAAODEyBAAAADAVFxcSBEYQUAAAAAAU6FkyBhKhgAAAAAnRoYAAAAApsIuQ8YQEAAAAMBUiAeMoWQIAAAAcGJkCAAAAGAqlAwZQ0AAAAAAUyEgMIaSIQAAAMCJkSEAAACAqZAgMIaAAAAAAKZCyZAxlAwBAAAATowMAQAAAEyFBIExBAQAAAAwFUqGjKFkCAAAAHBiZAgAAABgKiQIjCEgAAAAgKlQMmQMJUMAAACAEyNDAAAAAFMhQWAMAQEAAABMhZIhYygZAgAAAJwYGQIAAACYCgkCYwgIAAAAYCqUDBlDyRAAAABwA5w9e1bjxo1Tq1at1KRJEz3xxBOKj4+3tu/evVuRkZEKCQlRmzZtFBsba3N+fn6+5syZo/DwcAUHBysqKkpJSUk2fa42hj0ICAAAAGAqFovjHtfjxRdf1K+//qoZM2ZoxYoVql+/vvr3768DBw7ozJkz6tevn2rVqqWVK1cqOjpas2fP1sqVK63nx8TEaNmyZZo0aZLi4uJksVg0YMAA5eTkSJJdY9iDkiEAAACYSmkoGUpKStKWLVv0ySefqEmTJpKkMWPGaNOmTfrqq6/k4eEhNzc3TZgwQa6urgoICFBSUpLmz5+viIgI5eTkaOHChRoxYoRat24tSZo5c6bCw8O1fv16denSRZ9++ukVx7AXGQIAAADAwSpVqqT3339fDRo0sB6zWCwqKCjQuXPnFB8fr9DQULm6/vfz+bCwMB06dEhpaWlKTExURkaGwsLCrO0+Pj4KCgrSjh07JOmqY9iLDAEAAABMxZEJgvbt21+xfePGjcUe9/HxsX6yX2jNmjU6cuSIWrZsqZkzZ6pu3bo27VWrVpUkHT9+XMnJyZKk6tWrF+lz4sQJSVJycvIVx/D19b3i3AuRIQAAAICpWCwWhz0cZefOnRo9erTat2+vdu3aKSsrS25ubjZ93N3dJUnZ2dnKzMyUpGL7ZGdnS9JVx7AXGQIAAACgBCVlAIzYsGGDXn75ZQUHB2vGjBmSJA8PD+vi4EKFN/FeXl7y8PCQJOXk5Fh/Luzj6elp1xj2IkMAAAAAUylNGYKlS5cqOjparVq10vz586039/7+/kpNTbXpW/jnatWqWUuFiuvj7+9v1xj2IiAAAACAqZSWbUc//vhjvfHGG+rdu7dmzZplU94TGhqqnTt3Ki8vz3ps69atql27tnx9fVWvXj15e3tr27Zt1vb09HQlJCSoadOmdo1hLwICAAAAwMEOHTqkN998Ux06dNDAgQOVlpamkydP6uTJkzp//rwiIiJ04cIFjRkzRvv379eqVau0ZMkSDRw4UNLltQORkZGaPn26Nm7cqMTERA0fPlz+/v7q0KGDJF11DHuxhgAAAACmUhq+h+Dbb7/VpUuXtH79eq1fv96mrWfPnnrrrbe0YMECTZ48WT179pSfn59Gjhypnj17WvsNHTpUubm5Gjt2rLKyshQaGqrY2FhrpsHX1/eqY9jDUlBQUHD9T9mxPBsPudlTAACHOrNj7s2eAgA4lEcp/li57ex/Omys71+432FjlVaUDAEAAABOrBTHdgAAAIBxpaFk6FZCQAAAAABTIR4whpIhAAAAwImRIQAAAICpuJAiMISAAAAAAKZCPGAMJUMAAACAEyNDAAAAAFNhlyFjCAgAAABgKi7EA4ZQMgQAAAA4MTIEAAAAMBVKhowhIAAAAICpEA8YQ8kQAAAA4MTIEAAAAMBULCJFYAQBAQAAAEyFXYaMoWQIAAAAcGJkCAAAAGAq7DJkDAEBAAAATIV4wBhKhgAAAAAnRoYAAAAApuJCisAQAgIAAACYCvGAMZQMAQAAAE6MDAEAAABMhV2GjCEgAAAAgKkQDxhDyRAAAADgxMgQAAAAwFTYZcgYAgIAAACYCuGAMZQMAQAAAE6MDAEAAABMhV2GjCEgAAAAgKm4EA8YQskQAAAA4MTIEAAAAMBUKBkyhoAAAAAApkI8YAwlQwAAAIATI0MAAAAAU6FkyBgCAgAAAJgKuwwZQ8kQAAAA4MTIEAAAAMBUKBkyhoAAAAAApkI4YAwlQwAAAIATI0MAAAAAU3GhZMgQAgIAAACYCvGAMZQMAQAAAE6MDAEAAABMhV2GjCEgAAAAgKkQDxhDyRAAAADgxMgQAAAAwFTYZcgYAgIAAACYCvGAMZQMAQAAAE6MDAEAAABMhV2GjCmVAcGpbe/c7CkAgENVfmzhzZ4CADjUxZVRN3sKJaIExhheLwAAAMCJlcoMAQAAAHCtKBkyhoAAAAAApuJCPGAIJUMAAADADRYTE6M+ffrYHBs1apQCAwNtHq1atbK25+fna86cOQoPD1dwcLCioqKUlJRkM8bu3bsVGRmpkJAQtWnTRrGxsYbnRkAAAAAAU3GxOO7hCIsXL9acOXOKHN+zZ48GDRqkzZs3Wx+ff/65tT0mJkbLli3TpEmTFBcXJ4vFogEDBignJ0eSdObMGfXr10+1atXSypUrFR0drdmzZ2vlypWG5kfJEAAAAEyltKwhSElJ0ZgxY7Rz507Vrl3bpi0vL0/79+/X4MGD5efnV+TcnJwcLVy4UCNGjFDr1q0lSTNnzlR4eLjWr1+vLl266NNPP5Wbm5smTJggV1dXBQQEKCkpSfPnz1dERITd8yRDAAAAANwAv//+uypUqKDVq1crODjYpu3w4cPKzs5WQEBAsecmJiYqIyNDYWFh1mM+Pj4KCgrSjh07JEnx8fEKDQ2Vq+t/P+MPCwvToUOHlJaWZvc8yRAAAADAVBy5qLh9+/ZXbN+4cWOJbe3atVO7du2Kbdu7d68sFouWLFmiTZs2ycXFRa1bt9awYcNUvnx5JScnS5KqV69uc17VqlV14sQJSVJycrLq1q1bpF2Sjh8/Ll9f3ys/uf8gIAAAAICplJKKoSvat2+fXFxcVKNGDc2bN09JSUmaOnWq9u7dqyVLligzM1OS5ObmZnOeu7u7zp07J0nKysoqtl2SsrOz7Z4LAQEAAABQgitlAK5HdHS0+vbtKx8fH0lS3bp15efnp8cee0y7du2Sh4eHpMtrCQp/li7f6Ht6ekqSPDw8rAuM/9wuSV5eXnbPhTUEAAAAMBUXi8VhjxvFYrFYg4FCheU/ycnJ1lKh1NRUmz6pqany9/eXJPn7+xfbLknVqlWzey4EBAAAADAVFwc+bpSXXnpJ/fv3tzm2a9cuSVKdOnVUr149eXt7a9u2bdb29PR0JSQkqGnTppKk0NBQ7dy5U3l5edY+W7duVe3ate1ePyAREAAAAAD/c127dtWWLVv07rvv6siRI/rxxx81evRode3aVQEBAXJzc1NkZKSmT5+ujRs3KjExUcOHD5e/v786dOggSYqIiNCFCxc0ZswY7d+/X6tWrdKSJUs0cOBAQ3NhDQEAAABM5VZYVNy2bVvNnj1b8+bN07x581S+fHl169ZNw4YNs/YZOnSocnNzNXbsWGVlZSk0NFSxsbHWhcS+vr5asGCBJk+erJ49e8rPz08jR45Uz549Dc3FUlBQUODIJ+cIGTmlbkoAcF38nlh0s6cAAA51cWXUzZ5CiV5bu89hY73R8W6HjVVaUTIEAAAAODFKhgAAAGAqt0LJUGlCQAAAAABTceQ3FTsDSoYAAAAAJ0aGAAAAAKZyI79QzIwICAAAAGAqxAPGUDIEAAAAODEyBAAAADAVFhUbQ0AAAAAAU7GIiMAISoYAAAAAJ0aGAAAAAKZCyZAxBAQAAAAwFQICYygZAgAAAJwYGQIAAACYioUvIjCEgAAAAACmQsmQMZQMAQAAAE6MDAEAAABMhYohYwgIAAAAYCouRASGUDIEAAAAODEyBAAAADAVFhUbQ0AAAAAAU6FiyBhKhgAAAAAnRoYAAAAApuIiUgRGEBAAAADAVCgZMoaSIQAAAMCJkSEAAACAqbDLkDEEBAAAADAVvpjMGEqGAAAAACdGhgAAAACmQoLAGAICAAAAmAolQ8ZQMgQAAAA4MTIEAAAAMBUSBMYQEAAAAMBUKIExhtcLAAAAcGJkCAAAAGAqFmqGDCEgAAAAgKkQDhhDyRAAAADgxMgQAAAAwFT4HgJjCAgAAABgKoQDxlAyBAAAADgxMgQAAAAwFSqGjCEgAAAAgKmw7agxlAwBAAAATowMAQAAAEyFT7yNISAAAACAqVAyZAwBFAAAAODEyBAAAADAVMgPGENAAAAAAFOhZMgYSoYAAAAAJ0aGAAAAAKbCJ97GEBAAAADAVCgZMoYACgAAAHBiZAgAAABgKuQHjCEgAAAAgKlQMWQMJUMAAACAEyMgAAAAgKm4yOKwh6PExMSoT58+Nsd2796tyMhIhYSEqE2bNoqNjbVpz8/P15w5cxQeHq7g4GBFRUUpKSnJ0Bj2ICAAAACAqVgsjns4wuLFizVnzhybY2fOnFG/fv1Uq1YtrVy5UtHR0Zo9e7ZWrlxp7RMTE6Nly5Zp0qRJiouLk8Vi0YABA5STk2P3GPZgDQEAAABwA6SkpGjMmDHauXOnateubdP26aefys3NTRMmTJCrq6sCAgKUlJSk+fPnKyIiQjk5OVq4cKFGjBih1q1bS5Jmzpyp8PBwrV+/Xl26dLnqGPYiQwAAAABTsTjwv+vx+++/q0KFClq9erWCg4Nt2uLj4xUaGipX1/9+Ph8WFqZDhw4pLS1NiYmJysjIUFhYmLXdx8dHQUFB2rFjh11j2IsMAQAAAFCC9u3bX7F948aNJba1a9dO7dq1K7YtOTlZdevWtTlWtWpVSdLx48eVnJwsSapevXqRPidOnLBrDF9f3yvOvRABAQAAAEzlVth2NCsrS25ubjbH3N3dJUnZ2dnKzMyUpGL7nDt3zq4x7EVAAAAAAFNx5O5AV8oAXA8PDw/r4uBChTfxXl5e8vDwkCTl5ORYfy7s4+npadcY9mINAQAAAPA/5u/vr9TUVJtjhX+uVq2atVSouD7+/v52jWEvAgIAAACYSmnbdrQ4oaGh2rlzp/Ly8qzHtm7dqtq1a8vX11f16tWTt7e3tm3bZm1PT09XQkKCmjZtatcY9iIgAAAAgKncCgFBRESELly4oDFjxmj//v1atWqVlixZooEDB0q6vHYgMjJS06dP18aNG5WYmKjhw4fL399fHTp0sGsMe7GGAAAAAPgf8/X11YIFCzR58mT17NlTfn5+GjlypHr27GntM3ToUOXm5mrs2LHKyspSaGioYmNjrQuJ7RnDHpaCgoIChz47B8jIKXVTAoDr4vfEops9BQBwqIsro272FEq0fvcph43V4Z4qDhurtCJDAAAAAFNxuQW2HS1NWEMAAAAAODEyBAAAADAViwO/h8AZEBAAAADAVG6FbyouTSgZAgAAAJwYGQIAAACYCiVDxhAQAAAAwFTYZcgYSoZwS0tOPqFW94cqfsc2m+OpKSka88rLatvyPoWH3atBz/RT4u4Emz5zZr6tJg3rFXksWvD+Fa958mSqRo18Ue3CwxQedq9GvDhUqSkpDn9uAMwrqkOgts3oodSlffR7zKP6e7/7VN6zrLX9tspeWvhCax1d/KSSP4zUV+M7Krh25RLHa3yXr87F9VVk2zpF2iLb1tH2GT10+pOntPvdRzX60RC5XOVuqYyLRROfvFd73/ub0j5+St+/2VVhgVWv/QkDKNXIEOCWdfz4MQ0Z+IwunD9vczwj44Ke6Rsp17JlNWbcRLm5u2vBe+9q8LNRilu1Wn5+l/9R27Nnt5rd11yDo1+wOb969eolXjM3N1fRzz2rixcvatTYCcrNvaR3Zs3Q4IH99cnyz1S2bNkSzwUASRr+cENN7H2vZn6xSz/sOqEA//J67fEmCrqjkrpOXCtvD1ete6OzcnLzFT3vn8q+lKdXe4Xoy3Ed1Wz4Z0o+m2kznpuri96PbqWyrkU/4xvY8R7NHNBcM7/YpRELt+m+wKoa/WiI3MuW0fiPd5Y4x+lRYYpsW0evLY3XkZMXFN2tgVa/9pDuH/GF9p9Id/hrAjgaJUPGEBDglpOfn68vv/hMs97+e7HtH32wRGfPntHK1d9Yb/6D6jdQ78citHPHdnXs3FWStDcxUb0ee1yNgkPsvvaGdWu1d0+iln/2pQLq3C1JCqx3jx7t2U3r1q5Rl27dr+/JATA1i0V6+ZFGil23R+M/unxD/v1vUtr5bH30cjs1CfDVQ01ul295DzUeutJ68/+vA6e05e/dFd6gupZvPmgz5rgnmqiCV9EPI7zcXTWx972a8flvGvthvCTpx3+fUMVybmrb6LYSA4IavuUU1SFQIxb+n97/NlGStOGXY/ptbi+92KOhBr+7xWGvB3CjsMuQMZQM4Zazb+8eTZk0UV2799AbbxYNCjZuWKf2HR6yBgOSVKWKn77duMkaDKSdOqW0tFMKDLzH0LW3btmsWrVqW4MBSboroI5q3xWgLT/9eI3PCICz8PF007JNBxT30wGb4/uPX/7UvXY1Hz0cVkuf/99hm0xAytlM1Xk2rkgw0Kyun57rFKTh87cWudYDwTXk4+WmeWt22xwf/cEOtXr1yxLn2LZRdZV1ddEX25Ksx3Jy87Um/qgeanK7/U8WwC2DgAC3HP/q1fXF1+v00shR8vD0sGm7dOmSDh08oFq171LMO7P1YNtwNWvcQM/0jdS+vXus/RITL/8D+cP3G9X5wXZq1riBnni0p7b8tOmK1z506KDuqFWryPHbb79DSUmHr/u5ATC3cxdz9FLs/+n/9qTaHH847E5J0t5j53RPzYrac+ysxj3eRAcXPK5zcX317eudVP+OSjbneLiV0fzoVpq26lftSjpT5FqNalfW2Yxs+fl4aN0bnXVm2dM6tOBxjX405IqfngbWqKjzmZeU8pfSpAPJ6ape2UvlPCguQOlnceDDGRAQ4JZToUJFVfP3L7btfHq6cnNz9dGHixW/Y5tem/iGpkyboXPnzunZqKesi3/3/icgOH06TeMmvKHps95RpcqV9cKQQfrnlp9KvPb58+kqV867yHGvcuWUkXHBAc8OgLO5L7CqXuzRUKu3JSn5zEWVdXVRdNcGatWgugbHbNZTM75X5fIeWvt6J91W2ct63qTIpsrIuqRpq34rdtwqPh5ydXHRqjEPat2//tDDk77VB9/v06hHQ/R676YlzqdiOTelX8wpcvxC5iVJko8na6VQ+rlYLA57OAPCfJjKpUuXrD/PnTdfXl7lJF1eQ9Cjy0OK+2Spooe9pIc6d1HdwHpq3qKlXFwux8XN72+px3v10Lx/vKP7W4QXO35+foEsxf3lUFAgFwvxNQBj7r+nmlaMekAHU87ruZif5OX233+WH570rTKyciVJOw+c0q65vTSw0z0a/9FOhdf3V1SHQLV69Uvl5RcUO7abq4u8Pcvqjbh/6Z0vf5ckbfp3siqVc9eQrvU1dcUvuvCf8f/MxWJRQUHRMQv/6ivhcgBuYYYCgj59+hR/M1SMDz744JomBFwPr3KXA4CmTZtZgwFJql79NtW+K0B7Ei8vkLvtthq67bYaNueWLVtWYfe30KrlcSWOX758eWVcKJoJuHjxorzLl3fEUwDgJHq1qK33h4Rr7/F0PfzGtzpzIUd5Xpfvtjf9fsIaDEjSH6cytOePswqu5atyHq567/lwzfh8l3YfPasyLhaV+c82oi6Wyz/n5Rfo/H8+0V8Tf9Tmuut/+UPPPFRP99xeSTv2nSwyr7MXc1Te063I8XIelzMD54rJHgCljXN8ru84hgKC5s2b65133tFdd92lRo0a3ag5AdesfPnyqlzZVzmXiv6DlZubK3ePy2sOftr0g3JyctT+gQdt+mRnZalChYoljn9nrdrak7i7yPGjR4+ofoOG1zd5AE5j2MMNNCkyVJsTkvW3qRuUfvHyzXv6xcu1++5lyxQ5x9XVRZk5uWoSUEW1qpXX6L811ui/NbbpM+/5cM17PlxeEQt14D/bg/51LNcyl7OZmTlFswOStO/YOVUo56YqPh46lZ5lPR7g76PDKeeVlZN37U8c+F8hIjDEUEAwePBgeXl5ac6cOXrvvfdUs2bNGzUv4Jq1aBmu77/boDNnzqhSpcuL8A4fOqikw4fU45FekqR1a9fox+83KjT0PvlUqCBJyrx4UZs3/ah7Q5uVOHbz+1to7Tdf6eCB/bor4PIXAB08sF+HDh7QM88OusHPDIAZ9O8QqDefaqYVWw6q/5xNupSbb9O+7uc/1L3ZnfIt766089mSpLtv81Hd2ypo8Ya9+vnAKbUc+YXNOf6VvLRiVAdNjvtZa3YeuTzOL8eUn1+gv7W8y2aL0S6hd+hUepYS/zhb7Pw2/nZMktSzeS3N/8+2o26uLurU9Hat//kPh7wGAEoXw2sI+vbtq82bN2vWrFmaPn36jZgTcF0GDHpe33+/Uc8P7K8BAwcrNzdXc+fMVDV/f/WMuBwQPN2vvzau/1bRg59V1DMDlZuXqyULF+hi5kUNej7aOtbBA/uVk5OjevcESZIe7NhZC+e/pyHPPauhw16UJM2ZNUN17q6rBx7s+L9/sgBuKdUqempqv/uUlHpe736zWyG1fW3aD6Wc15Tlv6hbszv05biHNGX5L3It46KJve/VH6cytHjDHl3IytW/DqTZnHeH3+XAIenkeWvb4ZTzmrcmQcN7NNSlvHxtTkhWp3tv15Ot6+jFBVuVm3e5PKlGZS/d5ltOvx5KU05uvo6ezNCH3+/T1L7N5OFWRvuPpyu6W31V8HLTzC92/Q9eJeD68cVkxlzTouLJkycrISHB0XMBHKLm7bdr8YefaPbM6Xpt9Ei5lCmjsLD79dLIUdYdgurcXVcLFn+ouXNmacJro3Tp0iU1uTdUC5dM0u2332Eda8qkiTp+/Ji+/vY7SZKbm5ti5i/UtLfe1KSJ4+TqenndwUsjX5WrK2v0AVzZQ01qysvdVXdWLa+Nk7sUaX927iYt/X6/2o3+WpP6NNWCoa2Vl5+v7349rlcWbSt2EfCVjFi0TX+kZah/h3p6qWcjHU49r8Exm7V4415rn74PBGrMY41Vb9CnOnLy8hqp6HlbdPZCtl7s0UjeHq76+WCaur2+VgeTz5d0KaBUcZLNgRzGUlDcVgI3WUZOqZsSAFwXvycW3ewpAIBDXVwZdbOnUKLtB885bKxmd1Vw2FilFR9pAgAAwFRIEBhDQAAAAABzISIwhG9SAgAAAJwYGQIAAACYCrsMGUNAAAAAAFNhlyFjKBkCAAAAnBgZAgAAAJgKCQJjCAgAAABgLkQEhlAyBAAAADgxMgQAAAAwFXYZMoaAAAAAAKbCLkPGUDIEAAAAODEyBAAAADAVEgTGEBAAAADAXIgIDKFkCAAAAHBiZAgAAABgKuwyZAwBAQAAAEyFXYaMoWQIAAAAcGJkCAAAAGAqJAiMISAAAACAuRARGELJEAAAAODEyBAAAADAVNhlyBgCAgAAAJgKuwwZQ8kQAAAA4MTIEAAAAMBUSBAYQ0AAAAAAcyEiMISSIQAAAMCJkSEAAACAqbDLkDEEBAAAADAVdhkyhpIhAAAAwImRIQAAAICpkCAwhoAAAAAA5kJEYAglQwAAAIATI0MAAAAAU2GXIWPIEAAAAMBULBbHPa7HsWPHFBgYWOSxfPlySdLu3bsVGRmpkJAQtWnTRrGxsTbn5+fna86cOQoPD1dwcLCioqKUlJR0fZMqBhkCAAAA4AbYs2eP3N3dtWHDBln+FF2UL19eZ86cUb9+/fTAAw9o4sSJ+uWXXzRx4kRVrFhRERERkqSYmBgtW7ZMU6ZMUbVq1TRt2jQNGDBAX331ldzc3Bw2TwICAAAAmEppKRjau3evateurapVqxZpW7Jkidzc3DRhwgS5uroqICBASUlJmj9/viIiIpSTk6OFCxdqxIgRat26tSRp5syZCg8P1/r169WlSxeHzZOSIQAAAJiLxYGP67Bnzx7VqVOn2Lb4+HiFhobK1fW/n8+HhYXp0KFDSktLU2JiojIyMhQWFmZt9/HxUVBQkHbs2HF9E/sLMgQAAABACdq3b3/F9o0bN5bYtnfvXvn5+enJJ5/U4cOHdeedd2rw4MEKDw9XcnKy6tata9O/MJNw/PhxJScnS5KqV69epM+JEyeu5amUiIAAAAAAplIadhnKycnR4cOH5enpqZEjR8rLy0urV6/WgAEDtGjRImVlZRVZB+Du7i5Jys7OVmZmpiQV2+fcuXMOnSsBAQAAAEzlencH+rMrZQCuxM3NTTt27JCrq6v1pr5BgwY6cOCAYmNj5eHhoZycHJtzsrOzJUleXl7y8PCQdDmwKPy5sI+np+c1zakkrCEAAAAAbgAvL68in/DXrVtXKSkp8vf3V2pqqk1b4Z+rVatmLRUqro+/v79D50lAAAAAAFMpDWuKExMT1bhxY8XHx9sc//e//606deooNDRUO3fuVF5enrVt69atql27tnx9fVWvXj15e3tr27Zt1vb09HQlJCSoadOm1zGzoggIAAAAYC6lICKoW7eu7r77bk2cOFHx8fE6cOCApkyZol9++UWDBg1SRESELly4oDFjxmj//v1atWqVlixZooEDB0q6XHIUGRmp6dOna+PGjUpMTNTw4cPl7++vDh06XPvEimEpKCgocOiIDpCRU+qmBADXxe+JRTd7CgDgUBdXRt3sKZTocFqWw8aq5etx9U4lOH36tKZPn65NmzYpPT1dQUFBevnll62f8P/222+aPHmyEhIS5Ofnp6ioKEVGRlrPz8vL04wZM7Rq1SplZWUpNDRU48aNU82aNa/7ef0ZAQEA/A8QEAAwm9IcECSlZTtsrDt93R02VmnFLkMAAAAwFUfuMuQMWEMAAAAAODEyBAAAADAVEgTGEBAAAADAVCgZMoaSIQAAAMCJkSEAAACAyZAiMIKAAAAAAKZCyZAxlAwBAAAATowMAQAAAEyFBIExBAQAAAAwFUqGjKFkCAAAAHBiZAgAAABgKhaKhgwhIAAAAIC5EA8YQskQAAAA4MTIEAAAAMBUSBAYQ0AAAAAAU2GXIWMoGQIAAACcGBkCAAAAmAq7DBlDQAAAAABzIR4whJIhAAAAwImRIQAAAICpkCAwhoAAAAAApsIuQ8ZQMgQAAAA4MTIEAAAAMBV2GTKGgAAAAACmQsmQMZQMAQAAAE6MgAAAAABwYpQMAQAAwFQoGTKGDAEAAADgxMgQAAAAwFTYZcgYAgIAAACYCiVDxlAyBAAAADgxMgQAAAAwFRIExhAQAAAAwFyICAyhZAgAAABwYmQIAAAAYCrsMmQMAQEAAABMhV2GjKFkCAAAAHBiZAgAAABgKiQIjCEgAAAAgLkQERhCyRAAAADgxMgQAAAAwFTYZcgYAgIAAACYCrsMGUPJEAAAAODELAUFBQU3exIAAAAAbg4yBAAAAIATIyAAAAAAnBgBAQAAAODECAgAAAAAJ0ZAAAAAADgxAgIAAADAiREQAAAAAE6MgAAAAABwYgQEAAAAgBMjIAAAAACcGAEBAAAA4MQICAAAAAAnRkAAAAAAODECAjil/Px8zZkzR+Hh4QoODlZUVJSSkpJu9rQAwCFiYmLUp0+fmz0NALcIAgI4pZiYGC1btkyTJk1SXFycLBaLBgwYoJycnJs9NQC4LosXL9acOXNu9jQA3EIICOB0cnJytHDhQkVHR6t169aqV6+eZs6cqZSUFK1fv/5mTw8ArklKSoqeeeYZzZ49W7Vr177Z0wFwCyEggNNJTExURkaGwsLCrMd8fHwUFBSkHTt23MSZAcC1+/3331WhQgWtXr1awcHBN3s6AG4hrjd7AsD/WnJysiSpevXqNserVq2qEydO3IwpAcB1a9eundq1a3ezpwHgFkSGAE4nMzNTkuTm5mZz3N3dXdnZ2TdjSgAAADcNAQGcjoeHhyQVWUCcnZ0tT0/PmzElAACAm4aAAE6nsFQoNTXV5nhqaqr8/f1vxpQAAABuGgICOJ169erJ29tb27Ztsx5LT09XQkKCmjZtehNnBgAA8L/HomI4HTc3N0VGRmr69OmqXLmyatSooWnTpsnf318dOnS42dMDAAD4nyIggFMaOnSocnNzNXbsWGVlZSk0NFSxsbFFFhoDAACYnaWgoKDgZk8CAAAAwM3BGgIAAADAiREQAAAAAE6MgAAAAABwYgQEAAAAgBMjIAAAAACcGAEBAAAA4MQICAAAAAAnRkAAAAAAODECAgAAAMCJERAAAAAAToyAAAAAAHBi/w/l995oFElLjQAAAABJRU5ErkJggg==",
- "text/plain": [
- "<Figure size 1000x500 with 2 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Confusion Matrix\n",
- "cm = confusion_matrix(Y_test, Y_pred)\n",
- "plt.figure(figsize=(10, 5))\n",
- "sns.heatmap(cm, annot=True, fmt=\".1f\", cmap=\"Blues\")\n",
- "plt.title(\"Confusion Matrix for SVM Model\")\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 201,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " MODEL NAME ACCURACY RECALL PRECISION F1-SCORE ROC AUC SCORE\n",
- "0 Decision Tree Model 0.950900 0.942725 0.952895 0.947783 0.950476\n",
- "1 KNN Model 0.952581 0.942369 0.956663 0.949462 0.952052\n",
- "2 SVM Model 0.953086 0.941302 0.958696 0.949919 0.952475\n"
- ]
- }
- ],
- "source": [
- "# Adding the evaluation metrics to the dataframe.\n",
- "metrics_df = add_metrics_details(\"SVM Model\", Y_test, Y_pred, metrics_df)\n",
- "print(metrics_df)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 261,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<Figure size 1000x600 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "from sklearn.metrics import roc_curve, auc\n",
- "fpr_tree, tpr_tree, _ = roc_curve(Y_test, Y_prob_tree)\n",
- "roc_auc_tree = auc(fpr_tree, tpr_tree)\n",
- "\n",
- "fpr_knn, tpr_knn, _ = roc_curve(Y_test, Y_prob_knn)\n",
- "roc_auc_knn = auc(fpr_knn, tpr_knn)\n",
- "\n",
- "fpr_svm, tpr_svm, _ = roc_curve(Y_test, Y_prob_svm)\n",
- "roc_auc_svm = auc(fpr_svm, tpr_svm)\n",
- "\n",
- "# Plot ROC curve\n",
- "plt.figure(figsize=(10, 6))\n",
- "plt.plot(fpr_tree, tpr_tree, color='darkorange', lw=2, label='Decision Tree (area = %0.2f)' % roc_auc_tree)\n",
- "plt.plot(fpr_knn, tpr_knn, color='blue', lw=2, label='K-Nearest Neighbor (area = %0.2f)' % roc_auc_knn)\n",
- "plt.plot(fpr_svm, tpr_svm, color='green', lw=2, label='Support Vector Machine (area = %0.2f)' % roc_auc_svm)\n",
- "\n",
- "plt.plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')\n",
- "plt.xlim([0.0, 1.0])\n",
- "plt.ylim([0.0, 1.05])\n",
- "plt.xlabel('False Positive Rate')\n",
- "plt.ylabel('True Positive Rate')\n",
- "plt.title('Receiver Operating Characteristic (ROC) Curve')\n",
- "plt.legend(loc=\"lower right\")\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 202,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Collecting gymnasium[toy-text]\n",
- " Obtaining dependency information for gymnasium[toy-text] from https://files.pythonhosted.org/packages/a8/4d/3cbfd81ed84db450dbe73a89afcd8bc405273918415649ac6683356afe92/gymnasium-0.29.1-py3-none-any.whl.metadata\n",
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- "Requirement already satisfied: numpy>=1.21.0 in c:\\users\\india\\anaconda3\\lib\\site-packages (from gymnasium[toy-text]) (1.24.3)\n",
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- "Collecting farama-notifications>=0.0.1 (from gymnasium[toy-text])\n",
- " Obtaining dependency information for farama-notifications>=0.0.1 from https://files.pythonhosted.org/packages/05/2c/ffc08c54c05cdce6fbed2aeebc46348dbe180c6d2c541c7af7ba0aa5f5f8/Farama_Notifications-0.0.4-py3-none-any.whl.metadata\n",
- " Downloading Farama_Notifications-0.0.4-py3-none-any.whl.metadata (558 bytes)\n",
- "Collecting pygame>=2.1.3 (from gymnasium[toy-text])\n",
- " Obtaining dependency information for pygame>=2.1.3 from https://files.pythonhosted.org/packages/82/61/93ae7afbd931a70510cfdf0a7bb0007540020b8d80bc1d8762ebdc46479b/pygame-2.5.2-cp311-cp311-win_amd64.whl.metadata\n",
- " Downloading pygame-2.5.2-cp311-cp311-win_amd64.whl.metadata (13 kB)\n",
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- "Installing collected packages: farama-notifications, pygame, gymnasium\n",
- "Successfully installed farama-notifications-0.0.4 gymnasium-0.29.1 pygame-2.5.2\n"
- ]
- }
- ],
- "source": [
- "!pip install gymnasium[toy-text]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 215,
- "metadata": {},
- "outputs": [
- {
- "data": {
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- " <th></th>\n",
- " <th>recommended</th>\n",
- " <th>overall</th>\n",
- " <th>seat_comfort</th>\n",
- " <th>cabin_service</th>\n",
- " <th>food_bev</th>\n",
- " <th>entertainment</th>\n",
- " <th>ground_service</th>\n",
- " <th>value_for_money</th>\n",
- " <th>Couple Leisure</th>\n",
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- " <th>Economy Class</th>\n",
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- "text/plain": [
- " recommended overall seat_comfort cabin_service food_bev entertainment \\\n",
- "0 1 7.0 4.0 5.0 4.0 4.0 \n",
- "1 0 2.0 4.0 1.0 1.0 1.0 \n",
- "2 0 3.0 1.0 4.0 1.0 3.0 \n",
- "3 1 10.0 4.0 5.0 5.0 5.0 \n",
- "4 0 1.0 1.0 1.0 1.0 1.0 \n",
- "\n",
- " ground_service value_for_money Couple Leisure Family Leisure \\\n",
- "0 2.0 4.0 False False \n",
- "1 1.0 1.0 False True \n",
- "2 1.0 2.0 False False \n",
- "3 5.0 5.0 False False \n",
- "4 1.0 1.0 False False \n",
- "\n",
- " Solo Leisure Economy Class First Class Premium Economy \n",
- "0 False True False False \n",
- "1 False True False False \n",
- "2 False True False False \n",
- "3 True True False False \n",
- "4 True True False False "
- ]
- },
- "execution_count": 215,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "df2= pd.read_csv('cleanedairline_pred_data.csv')\n",
- "df2.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 203,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Unique values in 'recommended' column: [1 0]\n",
- "Value counts of 'recommended' column:\n",
- " recommended\n",
- "0 15817\n",
- "1 13914\n",
- "Name: count, dtype: int64\n"
- ]
- }
- ],
- "source": [
- "# Inspect the recommended column\n",
- "print(\"Unique values in 'recommended' column:\", df2['recommended'].unique())\n",
- "print(\"Value counts of 'recommended' column:\\n\", df2['recommended'].value_counts())"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 205,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Load the dataset\n",
- "file_path = 'cleanedairline_pred_data.csv'\n",
- "dataset = pd.read_csv(file_path)\n",
- "\n",
- "# Preprocess the data\n",
- "scaler = MinMaxScaler()\n",
- "numerical_features = ['overall', 'seat_comfort', 'cabin_service', 'food_bev', 'entertainment', 'ground_service', 'value_for_money']\n",
- "dataset[numerical_features] = scaler.fit_transform(dataset[numerical_features])\n",
- "\n",
- "# Convert boolean features to integers\n",
- "boolean_features = ['Couple Leisure', 'Family Leisure', 'Solo Leisure', 'Economy Class', 'First Class', 'Premium Economy']\n",
- "dataset[boolean_features] = dataset[boolean_features].astype(int)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 206,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Define states and actions\n",
- "states = dataset.drop(columns=['recommended']).values\n",
- "actions = np.unique(dataset['recommended'].values)\n",
- "num_states = len(states)\n",
- "num_actions = len(actions)\n",
- "# Initialize Q-table\n",
- "q_table = np.zeros((len(states), len(actions)))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 207,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Hyperparameters\n",
- "alpha = 0.1\n",
- "gamma = 0.95\n",
- "epsilon = 0.1\n",
- "num_episodes = 10000\n",
- "\n",
- "\n",
- "def choose_action(state_index):\n",
- " if np.random.uniform(0, 1) < epsilon:\n",
- " return np.random.choice(actions) \n",
- " else:\n",
- " return np.argmax(q_table[state_index, :]) "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 209,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Training completed\n"
- ]
- }
- ],
- "source": [
- "# Training the agent\n",
- "for episode in range(num_episodes):\n",
- " \n",
- " state_index = np.random.randint(0, len(states))\n",
- " done = False\n",
- " \n",
- " while not done:\n",
- " action = choose_action(state_index)\n",
- " \n",
- " next_state_index = (state_index + 1) % len(states)\n",
- " reward = dataset.iloc[next_state_index]['recommended']\n",
- " \n",
- " # Q-learning update\n",
- " q_table[state_index, action] = q_table[state_index, action] + alpha * (\n",
- " reward + gamma * np.max(q_table[next_state_index, :]) - q_table[state_index, action])\n",
- " \n",
- " state_index = next_state_index\n",
- " done = state_index == 0\n",
- "\n",
- "print(\"Training completed\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 210,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Policy accuracy: 0.51\n"
- ]
- }
- ],
- "source": [
- "def evaluate_policy(q_table, states, actions):\n",
- " correct_predictions = 0\n",
- " total_predictions = len(states)\n",
- " \n",
- " for state_index in range(total_predictions):\n",
- " action = np.argmax(q_table[state_index, :])\n",
- " correct_predictions += int(action == dataset.iloc[state_index]['recommended'])\n",
- " \n",
- " accuracy = correct_predictions / total_predictions\n",
- " return accuracy\n",
- "\n",
- "accuracy = evaluate_policy(q_table, states, actions)\n",
- "print(f\"Policy accuracy: {accuracy:.2f}\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 219,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Facts have been successfully generated and saved to 'facts.pl'.\n"
- ]
- }
- ],
- "source": [
- "# Load the dataset\n",
- "df2 = pd.read_csv('cleanedairline_pred_data.csv')\n",
- "df2.head()\n",
- "\n",
- "\n",
- "# Fill numerical NaNs with the mean\n",
- "numerical_features = ['overall', 'seat_comfort', 'cabin_service', 'food_bev', 'entertainment', 'ground_service', 'value_for_money']\n",
- "df2[numerical_features] = df2[numerical_features].fillna(df2[numerical_features].mean())\n",
- "\n",
- "# Convert `recommended` to binary\n",
- "df2['recommended'] = df2['recommended'].apply(lambda x: 1 if x == 'yes' else 0)\n",
- "\n",
- "# Define mappings for traveller type and cabin based on the one-hot encoded columns\n",
- "traveller_type_columns = ['Couple Leisure', 'Family Leisure', 'Solo Leisure']\n",
- "cabin_columns = ['Economy Class', 'First Class', 'Premium Economy']\n",
- "\n",
- "def get_traveller_type(row):\n",
- " for col in traveller_type_columns:\n",
- " if row[col]:\n",
- " return col.replace(' ', '_')\n",
- " return 'Unknown'\n",
- "\n",
- "def get_cabin_type(row):\n",
- " for col in cabin_columns:\n",
- " if row[col]:\n",
- " return col.replace(' ', '_')\n",
- " return 'Unknown'\n",
- "\n",
- "# Save facts to a Prolog file\n",
- "with open('facts.pl', 'w') as f:\n",
- " for _, row in df2.iterrows():\n",
- " traveller_type = get_traveller_type(row)\n",
- " cabin = get_cabin_type(row)\n",
- " fact = f\"recommended({traveller_type}, {cabin}, {int(row['seat_comfort'])}, {int(row['cabin_service'])}, {int(row['food_bev'])}, {int(row['entertainment'])}, {int(row['ground_service'])}, {int(row['value_for_money'])}).\\n\"\n",
- " f.write(fact)\n",
- "print(\"Facts have been successfully generated and saved to 'facts.pl'.\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 220,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Number of positive examples: 0\n",
- "Number of negative examples: 29731\n",
- "Positive and negative examples have been successfully generated and saved to 'positiveexamples.f' and 'negativeexamples.n'.\n"
- ]
- }
- ],
- "source": [
- "traveller_type_columns = ['Couple Leisure', 'Family Leisure', 'Solo Leisure']\n",
- "cabin_columns = ['Economy Class', 'First Class', 'Premium Economy']\n",
- "\n",
- "def get_traveller_type(row):\n",
- " for col in traveller_type_columns:\n",
- " if row[col]:\n",
- " return col.replace(' ', '_').lower()\n",
- " return 'unknown'\n",
- "\n",
- "def get_cabin_type(row):\n",
- " for col in cabin_columns:\n",
- " if row[col]:\n",
- " return col.replace(' ', '_').lower()\n",
- " return 'unknown'\n",
- "\n",
- "\n",
- "positive_examples = []\n",
- "negative_examples = []\n",
- "\n",
- "for _, row in df2.iterrows():\n",
- " traveller_type = get_traveller_type(row)\n",
- " cabin = get_cabin_type(row)\n",
- " fact = f\"recommended({traveller_type}, {cabin}, {int(row['seat_comfort'])}, {int(row['cabin_service'])}, {int(row['food_bev'])}, {int(row['entertainment'])}, {int(row['ground_service'])}, {int(row['value_for_money'])}).\"\n",
- " if row['recommended'] == 1:\n",
- " positive_examples.append(fact)\n",
- " else:\n",
- " negative_examples.append(fact)\n",
- "\n",
- "print(\"Number of positive examples:\", len(positive_examples))\n",
- "print(\"Number of negative examples:\", len(negative_examples))\n",
- "\n",
- "# Save positive examples to file\n",
- "with open('positiveexamples.f', 'w') as f:\n",
- " for example in positive_examples:\n",
- " f.write(example + '\\n')\n",
- "\n",
- "# Save negative examples to file\n",
- "with open('negativeexamples.n', 'w') as f:\n",
- " for example in negative_examples:\n",
- " f.write(example + '\\n')\n",
- "\n",
- "print(\"Positive and negative examples have been successfully generated and saved to 'positiveexamples.f' and 'negativeexamples.n'.\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- }
- ],
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- "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",
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