{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "ZBI0cTFEUr0L" }, "source": [ "# Credit Card Fraud Detection" ] }, { "cell_type": "markdown", "metadata": { "id": "RHSOUyC0Ur0S" }, "source": [ "## Importing Dependencies" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "SeS8YiePjzTs" }, "outputs": [], "source": [ "# Importing the libraries\n", "import numpy as np\n", "import pandas as pd\n", "import time\n", "\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", "import seaborn as sns\n", "\n", "from scipy import stats\n", "from scipy.stats import norm, skew\n", "from scipy.special import boxcox1p\n", "from scipy.stats import boxcox_normmax\n", "\n", "from sklearn import preprocessing\n", "from sklearn.preprocessing import StandardScaler\n", "\n", "import sklearn\n", "from sklearn import metrics\n", "from sklearn.metrics import roc_curve, auc, roc_auc_score \n", "from sklearn.metrics import classification_report,confusion_matrix\n", "from sklearn.metrics import average_precision_score, precision_recall_curve\n", "\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.model_selection import StratifiedKFold\n", "from sklearn.model_selection import GridSearchCV, RandomizedSearchCV\n", "\n", "from sklearn.linear_model import Ridge, Lasso, LogisticRegression\n", "from sklearn.neighbors import KNeighborsClassifier\n", "from sklearn.linear_model import LogisticRegressionCV\n", "from sklearn.tree import DecisionTreeClassifier\n", "from sklearn.ensemble import AdaBoostClassifier\n", "from sklearn.ensemble import RandomForestClassifier\n", "import xgboost as xgb\n", "from xgboost import XGBClassifier\n", "from xgboost import plot_importance\n", "from sklearn.ensemble import AdaBoostClassifier\n", "\n", "# To ignore warnings\n", "import warnings\n", "warnings.filterwarnings(\"ignore\")" ] }, { "cell_type": "markdown", "metadata": { "id": "mHgkzM2NkFQ1" }, "source": [ "## Exploratory data analysis" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "IKsQai74jBJb", "outputId": "45e29237-931c-4e8f-a0bb-1ddb817a552f" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mounted at /content/gdrive\n" ] } ], "source": [ "# Mounting the google drive\n", "from google.colab import drive\n", "drive.mount('/content/gdrive')" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 236 }, "id": "eX-7qfaVkMCT", "outputId": "c96fd856-f02a-49f1-af79-cc2e131c0307" }, "outputs": [ { "data": { "text/html": [ "\n", "
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mean94813.8595751.168375e-153.416908e-16-1.379537e-152.074095e-159.604066e-161.487313e-15-5.556467e-161.213481e-16-2.406331e-15...1.654067e-16-3.568593e-162.578648e-164.473266e-155.340915e-161.683437e-15-3.660091e-16-1.227390e-1688.3496190.001727
std47488.1459551.958696e+001.651309e+001.516255e+001.415869e+001.380247e+001.332271e+001.237094e+001.194353e+001.098632e+00...7.345240e-017.257016e-016.244603e-016.056471e-015.212781e-014.822270e-014.036325e-013.300833e-01250.1201090.041527
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25%54201.500000-9.203734e-01-5.985499e-01-8.903648e-01-8.486401e-01-6.915971e-01-7.682956e-01-5.540759e-01-2.086297e-01-6.430976e-01...-2.283949e-01-5.423504e-01-1.618463e-01-3.545861e-01-3.171451e-01-3.269839e-01-7.083953e-02-5.295979e-025.6000000.000000
50%84692.0000001.810880e-026.548556e-021.798463e-01-1.984653e-02-5.433583e-02-2.741871e-014.010308e-022.235804e-02-5.142873e-02...-2.945017e-026.781943e-03-1.119293e-024.097606e-021.659350e-02-5.213911e-021.342146e-031.124383e-0222.0000000.000000
75%139320.5000001.315642e+008.037239e-011.027196e+007.433413e-016.119264e-013.985649e-015.704361e-013.273459e-015.971390e-01...1.863772e-015.285536e-011.476421e-014.395266e-013.507156e-012.409522e-019.104512e-027.827995e-0277.1650000.000000
max172792.0000002.454930e+002.205773e+019.382558e+001.687534e+013.480167e+017.330163e+011.205895e+022.000721e+011.559499e+01...2.720284e+011.050309e+012.252841e+014.584549e+007.519589e+003.517346e+003.161220e+013.384781e+0125691.1600001.000000
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V21 V22 V23 V24 \\\n", "count ... 2.848070e+05 2.848070e+05 2.848070e+05 2.848070e+05 \n", "mean ... 1.654067e-16 -3.568593e-16 2.578648e-16 4.473266e-15 \n", "std ... 7.345240e-01 7.257016e-01 6.244603e-01 6.056471e-01 \n", "min ... -3.483038e+01 -1.093314e+01 -4.480774e+01 -2.836627e+00 \n", "25% ... -2.283949e-01 -5.423504e-01 -1.618463e-01 -3.545861e-01 \n", "50% ... -2.945017e-02 6.781943e-03 -1.119293e-02 4.097606e-02 \n", "75% ... 1.863772e-01 5.285536e-01 1.476421e-01 4.395266e-01 \n", "max ... 2.720284e+01 1.050309e+01 2.252841e+01 4.584549e+00 \n", "\n", " V25 V26 V27 V28 Amount \\\n", "count 2.848070e+05 2.848070e+05 2.848070e+05 2.848070e+05 284807.000000 \n", "mean 5.340915e-16 1.683437e-15 -3.660091e-16 -1.227390e-16 88.349619 \n", "std 5.212781e-01 4.822270e-01 4.036325e-01 3.300833e-01 250.120109 \n", "min -1.029540e+01 -2.604551e+00 -2.256568e+01 -1.543008e+01 0.000000 \n", "25% -3.171451e-01 -3.269839e-01 -7.083953e-02 -5.295979e-02 5.600000 \n", "50% 1.659350e-02 -5.213911e-02 1.342146e-03 1.124383e-02 22.000000 \n", "75% 3.507156e-01 2.409522e-01 9.104512e-02 7.827995e-02 77.165000 \n", "max 7.519589e+00 3.517346e+00 3.161220e+01 3.384781e+01 25691.160000 \n", "\n", " Class \n", "count 284807.000000 \n", "mean 0.001727 \n", "std 0.041527 \n", "min 0.000000 \n", "25% 0.000000 \n", "50% 0.000000 \n", "75% 0.000000 \n", "max 1.000000 \n", "\n", "[8 rows x 31 columns]" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Checking distribution of numerical values in the dataset\n", "df.describe()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "kZdAzEwU606A", "outputId": "ce876536-5471-4e81-8638-d8d4f2f59d10" }, "outputs": [ { "data": { "text/plain": [ "0 284315\n", "1 492\n", "Name: Class, dtype: int64" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Checking the class distribution of the target variable\n", "df['Class'].value_counts()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 335 }, "id": "tQ1u053D67ov", "outputId": "69bc0c6a-f0d8-4629-a7b3-72bda466fc29" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Class\n", "0 99.827251\n", "1 0.172749\n", "Name: Class, dtype: float64\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Checking the class distribution of the target variable in percentage\n", "print((df.groupby('Class')['Class'].count()/df['Class'].count()) *100)\n", "((df.groupby('Class')['Class'].count()/df['Class'].count()) *100).plot.pie()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "id": "AtQ-cUby7OKm", "outputId": "2a9a1ad3-83dc-441b-9a61-d63945ac35aa" }, "outputs": [ { "data": { "text/html": [ "\n", "
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31 rows × 31 columns

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\n", " " ], "text/plain": [ " Time V1 V2 V3 V4 \\\n", "Time 1.000000 1.173963e-01 -1.059333e-02 -4.196182e-01 -1.052602e-01 \n", "V1 0.117396 1.000000e+00 4.135835e-16 -1.227819e-15 -9.215150e-16 \n", "V2 -0.010593 4.135835e-16 1.000000e+00 3.243764e-16 -1.121065e-15 \n", "V3 -0.419618 -1.227819e-15 3.243764e-16 1.000000e+00 4.711293e-16 \n", "V4 -0.105260 -9.215150e-16 -1.121065e-15 4.711293e-16 1.000000e+00 \n", "V5 0.173072 1.812612e-17 5.157519e-16 -6.539009e-17 -1.719944e-15 \n", "V6 -0.063016 -6.506567e-16 2.787346e-16 1.627627e-15 -7.491959e-16 \n", "V7 0.084714 -1.005191e-15 2.055934e-16 4.895305e-16 -4.104503e-16 \n", "V8 -0.036949 -2.433822e-16 -5.377041e-17 -1.268779e-15 5.697192e-16 \n", "V9 -0.008660 -1.513678e-16 1.978488e-17 5.568367e-16 6.923247e-16 \n", "V10 0.030617 7.388135e-17 -3.991394e-16 1.156587e-15 2.232685e-16 \n", "V11 -0.247689 2.125498e-16 1.975426e-16 1.576830e-15 3.459380e-16 \n", "V12 0.124348 2.053457e-16 -9.568710e-17 6.310231e-16 -5.625518e-16 \n", "V13 -0.065902 -2.425603e-17 6.295388e-16 2.807652e-16 1.303306e-16 \n", "V14 -0.098757 -5.020280e-16 -1.730566e-16 4.739859e-16 2.282280e-16 \n", "V15 -0.183453 3.547782e-16 -4.995814e-17 9.068793e-16 1.377649e-16 \n", "V16 0.011903 7.212815e-17 1.177316e-17 8.299445e-16 -9.614528e-16 \n", "V17 -0.073297 -3.879840e-16 -2.685296e-16 7.614712e-16 -2.699612e-16 \n", "V18 0.090438 3.230206e-17 3.284605e-16 1.509897e-16 -5.103644e-16 \n", "V19 0.028975 1.502024e-16 -7.118719e-18 3.463522e-16 -3.980557e-16 \n", "V20 -0.050866 4.654551e-16 2.506675e-16 -9.316409e-16 -1.857247e-16 \n", "V21 0.044736 -2.457409e-16 -8.480447e-17 5.706192e-17 -1.949553e-16 \n", "V22 0.144059 -4.290944e-16 1.526333e-16 -1.133902e-15 -6.276051e-17 \n", "V23 0.051142 6.168652e-16 1.634231e-16 -4.983035e-16 9.164206e-17 \n", "V24 -0.016182 -4.425156e-17 1.247925e-17 2.686834e-19 1.584638e-16 \n", "V25 -0.233083 -9.605737e-16 -4.478846e-16 -1.104734e-15 6.070716e-16 \n", "V26 -0.041407 -1.581290e-17 2.057310e-16 -1.238062e-16 -4.247268e-16 \n", "V27 -0.005135 1.198124e-16 -4.966953e-16 1.045747e-15 3.977061e-17 \n", "V28 -0.009413 2.083082e-15 -5.093836e-16 9.775546e-16 -2.761403e-18 \n", "Amount -0.010596 -2.277087e-01 -5.314089e-01 -2.108805e-01 9.873167e-02 \n", "Class -0.012323 -1.013473e-01 9.128865e-02 -1.929608e-01 1.334475e-01 \n", "\n", " V5 V6 V7 V8 V9 \\\n", "Time 1.730721e-01 -6.301647e-02 8.471437e-02 -3.694943e-02 -8.660434e-03 \n", "V1 1.812612e-17 -6.506567e-16 -1.005191e-15 -2.433822e-16 -1.513678e-16 \n", "V2 5.157519e-16 2.787346e-16 2.055934e-16 -5.377041e-17 1.978488e-17 \n", "V3 -6.539009e-17 1.627627e-15 4.895305e-16 -1.268779e-15 5.568367e-16 \n", "V4 -1.719944e-15 -7.491959e-16 -4.104503e-16 5.697192e-16 6.923247e-16 \n", "V5 1.000000e+00 2.408382e-16 2.715541e-16 7.437229e-16 7.391702e-16 \n", "V6 2.408382e-16 1.000000e+00 1.191668e-16 -1.104219e-16 4.131207e-16 \n", "V7 2.715541e-16 1.191668e-16 1.000000e+00 3.344412e-16 1.122501e-15 \n", "V8 7.437229e-16 -1.104219e-16 3.344412e-16 1.000000e+00 4.356078e-16 \n", "V9 7.391702e-16 4.131207e-16 1.122501e-15 4.356078e-16 1.000000e+00 \n", "V10 -5.202306e-16 5.932243e-17 -7.492834e-17 -2.801370e-16 -4.642274e-16 \n", "V11 7.203963e-16 1.980503e-15 1.425248e-16 2.487043e-16 1.354680e-16 \n", "V12 7.412552e-16 2.375468e-16 -3.536655e-18 1.839891e-16 -1.079314e-15 \n", "V13 5.886991e-16 -1.211182e-16 1.266462e-17 -2.921856e-16 2.251072e-15 \n", "V14 6.565143e-16 2.621312e-16 2.607772e-16 -8.599156e-16 3.784757e-15 \n", "V15 -8.720275e-16 -1.531188e-15 -1.690540e-16 4.127777e-16 -1.051167e-15 \n", "V16 2.246261e-15 2.623672e-18 5.869302e-17 -5.254741e-16 -1.214086e-15 \n", "V17 1.281914e-16 2.015618e-16 2.177192e-16 -2.269549e-16 1.113695e-15 \n", "V18 5.308590e-16 1.223814e-16 7.604126e-17 -3.667974e-16 4.993240e-16 \n", "V19 -1.450421e-16 -1.865597e-16 -1.881008e-16 -3.875186e-16 -1.376135e-16 \n", "V20 -3.554057e-16 -1.858755e-16 9.379684e-16 2.033737e-16 -2.343720e-16 \n", "V21 -3.920976e-16 5.833316e-17 -2.027779e-16 3.892798e-16 1.936953e-16 \n", "V22 1.253751e-16 -4.705235e-19 -8.898922e-16 2.026927e-16 -7.071869e-16 \n", "V23 -8.428683e-18 1.046712e-16 -4.387401e-16 6.377260e-17 -5.214137e-16 \n", "V24 -1.149255e-15 -1.071589e-15 7.434913e-18 -1.047097e-16 -1.430343e-16 \n", "V25 4.808532e-16 4.562861e-16 -3.094082e-16 -4.653279e-16 6.757763e-16 \n", "V26 4.319541e-16 -1.357067e-16 -9.657637e-16 -1.727276e-16 -7.888853e-16 \n", "V27 6.590482e-16 -4.452461e-16 -1.782106e-15 1.299943e-16 -6.709655e-17 \n", "V28 -5.613951e-18 2.594754e-16 -2.776530e-16 -6.200930e-16 1.110541e-15 \n", "Amount -3.863563e-01 2.159812e-01 3.973113e-01 -1.030791e-01 -4.424560e-02 \n", "Class -9.497430e-02 -4.364316e-02 -1.872566e-01 1.987512e-02 -9.773269e-02 \n", "\n", " ... V21 V22 V23 V24 \\\n", "Time ... 4.473573e-02 1.440591e-01 5.114236e-02 -1.618187e-02 \n", "V1 ... -2.457409e-16 -4.290944e-16 6.168652e-16 -4.425156e-17 \n", "V2 ... -8.480447e-17 1.526333e-16 1.634231e-16 1.247925e-17 \n", "V3 ... 5.706192e-17 -1.133902e-15 -4.983035e-16 2.686834e-19 \n", "V4 ... -1.949553e-16 -6.276051e-17 9.164206e-17 1.584638e-16 \n", "V5 ... -3.920976e-16 1.253751e-16 -8.428683e-18 -1.149255e-15 \n", "V6 ... 5.833316e-17 -4.705235e-19 1.046712e-16 -1.071589e-15 \n", "V7 ... -2.027779e-16 -8.898922e-16 -4.387401e-16 7.434913e-18 \n", "V8 ... 3.892798e-16 2.026927e-16 6.377260e-17 -1.047097e-16 \n", "V9 ... 1.936953e-16 -7.071869e-16 -5.214137e-16 -1.430343e-16 \n", "V10 ... 1.177547e-15 -6.418202e-16 3.214491e-16 -1.355885e-16 \n", "V11 ... -5.658364e-16 7.772895e-16 -4.505332e-16 1.933267e-15 \n", "V12 ... 7.300527e-16 1.644699e-16 1.800885e-16 4.436512e-16 \n", "V13 ... 1.008461e-16 6.747721e-17 -7.132064e-16 -1.397470e-16 \n", "V14 ... -3.356561e-16 3.740383e-16 3.883204e-16 2.003482e-16 \n", "V15 ... 6.605263e-17 -4.208921e-16 -3.912243e-16 -4.478263e-16 \n", "V16 ... -4.715090e-16 -7.923387e-17 5.020770e-16 -3.005985e-16 \n", "V17 ... -8.230527e-16 -8.743398e-16 3.706214e-16 -2.403828e-16 \n", "V18 ... -9.408680e-16 -4.819365e-16 -1.912006e-16 -8.986916e-17 \n", "V19 ... 5.115885e-16 -1.163768e-15 7.032035e-16 2.587708e-17 \n", "V20 ... -7.614597e-16 1.009285e-15 2.712885e-16 1.277215e-16 \n", "V21 ... 1.000000e+00 3.649908e-15 8.119580e-16 1.761054e-16 \n", "V22 ... 3.649908e-15 1.000000e+00 -7.303916e-17 9.970809e-17 \n", "V23 ... 8.119580e-16 -7.303916e-17 1.000000e+00 2.130519e-17 \n", "V24 ... 1.761054e-16 9.970809e-17 2.130519e-17 1.000000e+00 \n", "V25 ... -1.686082e-16 -5.018575e-16 -8.232727e-17 1.015391e-15 \n", "V26 ... -5.557329e-16 -2.503187e-17 1.114524e-15 1.343722e-16 \n", "V27 ... -1.211281e-15 8.461337e-17 2.839721e-16 -2.274142e-16 \n", "V28 ... 5.278775e-16 -6.627203e-16 1.481903e-15 -2.819805e-16 \n", "Amount ... 1.059989e-01 -6.480065e-02 -1.126326e-01 5.146217e-03 \n", "Class ... 4.041338e-02 8.053175e-04 -2.685156e-03 -7.220907e-03 \n", "\n", " V25 V26 V27 V28 Amount \\\n", "Time -2.330828e-01 -4.140710e-02 -5.134591e-03 -9.412688e-03 -0.010596 \n", "V1 -9.605737e-16 -1.581290e-17 1.198124e-16 2.083082e-15 -0.227709 \n", "V2 -4.478846e-16 2.057310e-16 -4.966953e-16 -5.093836e-16 -0.531409 \n", "V3 -1.104734e-15 -1.238062e-16 1.045747e-15 9.775546e-16 -0.210880 \n", "V4 6.070716e-16 -4.247268e-16 3.977061e-17 -2.761403e-18 0.098732 \n", "V5 4.808532e-16 4.319541e-16 6.590482e-16 -5.613951e-18 -0.386356 \n", "V6 4.562861e-16 -1.357067e-16 -4.452461e-16 2.594754e-16 0.215981 \n", "V7 -3.094082e-16 -9.657637e-16 -1.782106e-15 -2.776530e-16 0.397311 \n", "V8 -4.653279e-16 -1.727276e-16 1.299943e-16 -6.200930e-16 -0.103079 \n", "V9 6.757763e-16 -7.888853e-16 -6.709655e-17 1.110541e-15 -0.044246 \n", "V10 -2.846052e-16 -3.028119e-16 -2.197977e-16 4.864782e-17 -0.101502 \n", "V11 -5.600475e-16 -1.003221e-16 -2.640281e-16 -3.792314e-16 0.000104 \n", "V12 -5.712973e-16 -2.359969e-16 -4.672391e-16 6.415167e-16 -0.009542 \n", "V13 -5.497612e-16 -1.769255e-16 -4.720898e-16 1.144372e-15 0.005293 \n", "V14 -8.547932e-16 -1.660327e-16 1.044274e-16 2.289427e-15 0.033751 \n", "V15 3.206423e-16 2.817791e-16 -1.143519e-15 -1.194130e-15 -0.002986 \n", "V16 -1.345418e-15 -7.290010e-16 6.789513e-16 7.588849e-16 -0.003910 \n", "V17 2.666806e-16 6.932833e-16 6.148525e-16 -5.534540e-17 0.007309 \n", "V18 -6.629212e-17 2.990167e-16 2.242791e-16 7.976796e-16 0.035650 \n", "V19 9.577163e-16 5.898033e-16 -2.959370e-16 -1.405379e-15 -0.056151 \n", "V20 1.410054e-16 -2.803504e-16 -1.138829e-15 -2.436795e-16 0.339403 \n", "V21 -1.686082e-16 -5.557329e-16 -1.211281e-15 5.278775e-16 0.105999 \n", "V22 -5.018575e-16 -2.503187e-17 8.461337e-17 -6.627203e-16 -0.064801 \n", "V23 -8.232727e-17 1.114524e-15 2.839721e-16 1.481903e-15 -0.112633 \n", "V24 1.015391e-15 1.343722e-16 -2.274142e-16 -2.819805e-16 0.005146 \n", "V25 1.000000e+00 2.646517e-15 -6.406679e-16 -7.008939e-16 -0.047837 \n", "V26 2.646517e-15 1.000000e+00 -3.667715e-16 -2.782204e-16 -0.003208 \n", "V27 -6.406679e-16 -3.667715e-16 1.000000e+00 -3.061287e-16 0.028825 \n", "V28 -7.008939e-16 -2.782204e-16 -3.061287e-16 1.000000e+00 0.010258 \n", "Amount -4.783686e-02 -3.208037e-03 2.882546e-02 1.025822e-02 1.000000 \n", "Class 3.307706e-03 4.455398e-03 1.757973e-02 9.536041e-03 0.005632 \n", "\n", " Class \n", "Time -0.012323 \n", "V1 -0.101347 \n", "V2 0.091289 \n", "V3 -0.192961 \n", "V4 0.133447 \n", "V5 -0.094974 \n", "V6 -0.043643 \n", "V7 -0.187257 \n", "V8 0.019875 \n", "V9 -0.097733 \n", "V10 -0.216883 \n", "V11 0.154876 \n", "V12 -0.260593 \n", "V13 -0.004570 \n", "V14 -0.302544 \n", "V15 -0.004223 \n", "V16 -0.196539 \n", "V17 -0.326481 \n", "V18 -0.111485 \n", "V19 0.034783 \n", "V20 0.020090 \n", "V21 0.040413 \n", "V22 0.000805 \n", "V23 -0.002685 \n", "V24 -0.007221 \n", "V25 0.003308 \n", "V26 0.004455 \n", "V27 0.017580 \n", "V28 0.009536 \n", "Amount 0.005632 \n", "Class 1.000000 \n", "\n", "[31 rows x 31 columns]" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Checking the correlation\n", "corr = df.corr()\n", "corr" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "id": "L2JbqK4Y7OuI", "outputId": "d2c7c19c-486b-4272-cb81-b4f065052a69" }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Checking the correlation in heatmap\n", "plt.figure(figsize=(24,18))\n", "\n", "sns.heatmap(corr, cmap=\"coolwarm\", annot=True)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "F876a_Io7lEF" }, "source": [ "Here we will observe the distribution of our classes" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "1DtV5jdd7bUz", "outputId": "349edc45-dc15-467c-d3fa-709283b6376c" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "99.82725143693798\n", "0.1727485630620034\n" ] } ], "source": [ "# Checking the % distribution of normal vs fraud\n", "classes=df['Class'].value_counts()\n", "normal_share=classes[0]/df['Class'].count()*100\n", "fraud_share=classes[1]/df['Class'].count()*100\n", "\n", "print(normal_share)\n", "print(fraud_share)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 359 }, "id": "vdYNE1Kh7b9X", "outputId": "96a8d62f-7c52-4e0f-8ec8-b0a32b6a7620" }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Create a bar plot for the number and percentage of fraudulent vs non-fraudulent transcations\n", "plt.figure(figsize=(7,5))\n", "sns.countplot(df['Class'])\n", "plt.title(\"Class Count\", fontsize=18)\n", "plt.xlabel(\"Record counts by class\", fontsize=15)\n", "plt.ylabel(\"Count\", fontsize=15)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "96uyU8zACYp5" }, "outputs": [], "source": [ "# As time is given in relative fashion, we are using pandas.Timedelta which Represents a duration, the difference between two times or dates.\n", "Delta_Time = pd.to_timedelta(df['Time'], unit='s')\n", "\n", "#Create derived columns Mins and hours\n", "df['Time_Day'] = (Delta_Time.dt.components.days).astype(int)\n", "df['Time_Hour'] = (Delta_Time.dt.components.hours).astype(int)\n", "df['Time_Min'] = (Delta_Time.dt.components.minutes).astype(int)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "ARNGW5G9Bnc9" }, "outputs": [], "source": [ "# Drop unnecessary columns\n", "# We will drop Time,as we have derived the Day/Hour/Minutes from the time column \n", "df.drop('Time', axis = 1, inplace= True)\n", "# We will keep only derived column hour, as day/minutes might not be very useful\n", "df.drop(['Time_Day', 'Time_Min'], axis = 1, inplace= True)" ] }, { "cell_type": "markdown", "metadata": { "id": "zzGPVFR6C53g" }, "source": [ "## Splitting the data into train & test data" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "MVnTc6b6CXva" }, "outputs": [], "source": [ "# Splitting the dataset into X and y\n", "y= df['Class']\n", "X = df.drop(['Class'], axis=1)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 236 }, "id": "-tNq_p6eDF-e", "outputId": "a8564dfd-7232-48f2-fede-673e145f1888" }, "outputs": [ { "data": { "text/html": [ "\n", "
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V1V2V3V4V5V6V7V8V9V10...V21V22V23V24V25V26V27V28AmountTime_Hour
0-1.359807-0.0727812.5363471.378155-0.3383210.4623880.2395990.0986980.3637870.090794...-0.0183070.277838-0.1104740.0669280.128539-0.1891150.133558-0.021053149.620
11.1918570.2661510.1664800.4481540.060018-0.082361-0.0788030.085102-0.255425-0.166974...-0.225775-0.6386720.101288-0.3398460.1671700.125895-0.0089830.0147242.690
2-1.358354-1.3401631.7732090.379780-0.5031981.8004990.7914610.247676-1.5146540.207643...0.2479980.7716790.909412-0.689281-0.327642-0.139097-0.055353-0.059752378.660
3-0.966272-0.1852261.792993-0.863291-0.0103091.2472030.2376090.377436-1.387024-0.054952...-0.1083000.005274-0.190321-1.1755750.647376-0.2219290.0627230.061458123.500
4-1.1582330.8777371.5487180.403034-0.4071930.0959210.592941-0.2705330.8177390.753074...-0.0094310.798278-0.1374580.141267-0.2060100.5022920.2194220.21515369.990
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5 rows × 30 columns

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\n", " " ], "text/plain": [ " V1 V2 V3 V4 V5 V6 V7 \\\n", "0 -1.359807 -0.072781 2.536347 1.378155 -0.338321 0.462388 0.239599 \n", "1 1.191857 0.266151 0.166480 0.448154 0.060018 -0.082361 -0.078803 \n", "2 -1.358354 -1.340163 1.773209 0.379780 -0.503198 1.800499 0.791461 \n", "3 -0.966272 -0.185226 1.792993 -0.863291 -0.010309 1.247203 0.237609 \n", "4 -1.158233 0.877737 1.548718 0.403034 -0.407193 0.095921 0.592941 \n", "\n", " V8 V9 V10 ... V21 V22 V23 V24 \\\n", "0 0.098698 0.363787 0.090794 ... -0.018307 0.277838 -0.110474 0.066928 \n", "1 0.085102 -0.255425 -0.166974 ... -0.225775 -0.638672 0.101288 -0.339846 \n", "2 0.247676 -1.514654 0.207643 ... 0.247998 0.771679 0.909412 -0.689281 \n", "3 0.377436 -1.387024 -0.054952 ... -0.108300 0.005274 -0.190321 -1.175575 \n", "4 -0.270533 0.817739 0.753074 ... -0.009431 0.798278 -0.137458 0.141267 \n", "\n", " V25 V26 V27 V28 Amount Time_Hour \n", "0 0.128539 -0.189115 0.133558 -0.021053 149.62 0 \n", "1 0.167170 0.125895 -0.008983 0.014724 2.69 0 \n", "2 -0.327642 -0.139097 -0.055353 -0.059752 378.66 0 \n", "3 0.647376 -0.221929 0.062723 0.061458 123.50 0 \n", "4 -0.206010 0.502292 0.219422 0.215153 69.99 0 \n", "\n", "[5 rows x 30 columns]" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Checking some rows of X\n", "X.head()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "CwpWhN6PDHcs", "outputId": "645ced28-16d7-4893-8ec8-2fd3f67c8953" }, "outputs": [ { "data": { "text/plain": [ "0 0\n", "1 0\n", "2 0\n", "3 0\n", "4 0\n", "Name: Class, dtype: int64" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Checking some rows of y\n", "y.head()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "nUh26Ev9DJkD" }, "outputs": [], "source": [ "# Splitting the dataset using train test split\n", "X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=100, test_size=0.20)" ] }, { "cell_type": "markdown", "metadata": { "id": "q7pB6Mr2Gd_Z" }, "source": [ "Preserve X_test & y_test to evaluate on the test data once you build the model" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "etbYsRAxDS-p", "outputId": "9d8ebee0-a337-45c2-f073-2d46be604574" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "492\n", "396\n", "96\n" ] } ], "source": [ "# Checking the spread of data post split\n", "print(np.sum(y))\n", "print(np.sum(y_train))\n", "print(np.sum(y_test))" ] }, { "cell_type": "markdown", "metadata": { "id": "IHeQdFZ2HDkq" }, "source": [ "Plotting the distribution of a variable" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "MPsB77pJHMV1" }, "outputs": [], "source": [ "# Accumulating all the column names under one variable\n", "cols = list(X.columns.values)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "id": "AgMCGxXyHuSc", "outputId": "6569868a-f891-4dd6-f7f0-4188d236f68f" }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# plot the histogram of a variable from the dataset to see the skewness\n", "normal_records = df.Class == 0\n", "fraud_records = df.Class == 1\n", "\n", "plt.figure(figsize=(20, 60))\n", "for n, col in enumerate(cols):\n", " plt.subplot(10,3,n+1)\n", " sns.distplot(X[col][normal_records], color='green')\n", " sns.distplot(X[col][fraud_records], color='red')\n", " plt.title(col, fontsize=17)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "ty75WDNZJ-YX" }, "source": [ "## Model Building" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "klYOt_tJKA3r" }, "outputs": [], "source": [ "#Create a dataframe to store results\n", "df_Results = pd.DataFrame(columns=['Methodology','Model','Accuracy','roc_value','threshold'])" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "8OFNA3-QKBMP" }, "outputs": [], "source": [ "# Created a common function to plot confusion matrix\n", "def Plot_confusion_matrix(y_test, pred_test):\n", " cm = confusion_matrix(y_test, pred_test)\n", " plt.clf()\n", " plt.imshow(cm, interpolation='nearest', cmap=plt.cm.Accent)\n", " categoryNames = ['Non-Fraudalent','Fraudalent']\n", " plt.title('Confusion Matrix - Test Data')\n", " plt.ylabel('True label')\n", " plt.xlabel('Predicted label')\n", " ticks = np.arange(len(categoryNames))\n", " plt.xticks(ticks, categoryNames, rotation=45)\n", " plt.yticks(ticks, categoryNames)\n", " s = [['TN','FP'], ['FN', 'TP']]\n", " \n", " for i in range(2):\n", " for j in range(2):\n", " plt.text(j,i, str(s[i][j])+\" = \"+str(cm[i][j]),fontsize=12)\n", " plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "4jhk5EKlQGFo" }, "outputs": [], "source": [ "# # Created a common function to fit and predict on a Logistic Regression model for both L1 and L2\n", "def buildAndRunLogisticModels(df_Results, Methodology, X_train,y_train, X_test, y_test ):\n", "\n", " # Logistic Regression\n", " from sklearn import linear_model\n", " from sklearn.model_selection import KFold\n", "\n", " num_C = list(np.power(10.0, np.arange(-10, 10)))\n", " cv_num = KFold(n_splits=10, shuffle=True, random_state=42)\n", "\n", " searchCV_l2 = linear_model.LogisticRegressionCV(\n", " Cs= num_C\n", " ,penalty='l2'\n", " ,scoring='roc_auc'\n", " ,cv=cv_num\n", " ,random_state=42\n", " ,max_iter=10000\n", " ,fit_intercept=True\n", " ,solver='newton-cg'\n", " ,tol=10\n", " )\n", "\n", " searchCV_l1 = linear_model.LogisticRegressionCV(\n", " Cs=num_C\n", " ,penalty='l1'\n", " ,scoring='roc_auc'\n", " ,cv=cv_num\n", " ,random_state=42\n", " ,max_iter=10000\n", " ,fit_intercept=True\n", " ,solver='liblinear'\n", " ,tol=10\n", " )\n", "\n", " searchCV_l1.fit(X_train, y_train)\n", " searchCV_l2.fit(X_train, y_train)\n", " print ('Max auc_roc for l1:', searchCV_l1.scores_[1].mean(axis=0).max())\n", " print ('Max auc_roc for l2:', searchCV_l2.scores_[1].mean(axis=0).max())\n", "\n", " print(\"Parameters for l1 regularisations\")\n", " print(searchCV_l1.coef_)\n", " print(searchCV_l1.intercept_) \n", " print(searchCV_l1.scores_)\n", "\n", " print(\"Parameters for l2 regularisations\")\n", " print(searchCV_l2.coef_)\n", " print(searchCV_l2.intercept_) \n", " print(searchCV_l2.scores_) \n", "\n", "\n", " #find predicted vallues\n", " y_pred_l1 = searchCV_l1.predict(X_test)\n", " y_pred_l2 = searchCV_l2.predict(X_test)\n", " \n", "\n", " #Find predicted probabilities\n", " y_pred_probs_l1 = searchCV_l1.predict_proba(X_test)[:,1] \n", " y_pred_probs_l2 = searchCV_l2.predict_proba(X_test)[:,1] \n", "\n", " # Accuaracy of L2/L1 models\n", " Accuracy_l2 = metrics.accuracy_score(y_pred=y_pred_l2, y_true=y_test)\n", " Accuracy_l1 = metrics.accuracy_score(y_pred=y_pred_l1, y_true=y_test)\n", "\n", " print(\"Accuarcy of Logistic model with l2 regularisation : {0}\".format(Accuracy_l2))\n", " print(\"Confusion Matrix\")\n", " Plot_confusion_matrix(y_test, y_pred_l2)\n", " print(\"classification Report\")\n", " print(classification_report(y_test, y_pred_l2))\n", " \n", " print(\"Accuarcy of Logistic model with l1 regularisation : {0}\".format(Accuracy_l1))\n", " print(\"Confusion Matrix\")\n", " Plot_confusion_matrix(y_test, y_pred_l1)\n", " print(\"classification Report\")\n", " print(classification_report(y_test, y_pred_l1))\n", "\n", " l2_roc_value = roc_auc_score(y_test, y_pred_probs_l2)\n", " print(\"l2 roc_value: {0}\" .format(l2_roc_value))\n", " fpr, tpr, thresholds = metrics.roc_curve(y_test, y_pred_probs_l2)\n", " threshold = thresholds[np.argmax(tpr-fpr)]\n", " print(\"l2 threshold: {0}\".format(threshold))\n", "\n", " roc_auc = metrics.auc(fpr, tpr)\n", " print(\"ROC for the test dataset\",'{:.1%}'.format(roc_auc))\n", " plt.plot(fpr,tpr,label=\"Test, auc=\"+str(roc_auc))\n", " plt.legend(loc=4)\n", " plt.show()\n", " \n", " df_Results = df_Results.append(pd.DataFrame({'Methodology': Methodology,'Model': 'Logistic Regression with L2 Regularisation','Accuracy': Accuracy_l2,'roc_value': l2_roc_value,'threshold': threshold}, index=[0]),ignore_index= True)\n", "\n", " l1_roc_value = roc_auc_score(y_test, y_pred_probs_l1)\n", " print(\"l1 roc_value: {0}\" .format(l1_roc_value))\n", " fpr, tpr, thresholds = metrics.roc_curve(y_test, y_pred_probs_l1)\n", " threshold = thresholds[np.argmax(tpr-fpr)]\n", " print(\"l1 threshold: {0}\".format(threshold))\n", "\n", " roc_auc = metrics.auc(fpr, tpr)\n", " print(\"ROC for the test dataset\",'{:.1%}'.format(roc_auc))\n", " plt.plot(fpr,tpr,label=\"Test, auc=\"+str(roc_auc))\n", " plt.legend(loc=4)\n", " plt.show()\n", " \n", " df_Results = df_Results.append(pd.DataFrame({'Methodology': Methodology,'Model': 'Logistic Regression with L1 Regularisation','Accuracy': Accuracy_l1,'roc_value': l1_roc_value,'threshold': threshold}, index=[0]),ignore_index= True)\n", " return df_Results" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "JVlp7dA7QF5h" }, "outputs": [], "source": [ "# Created a common function to fit and predict on a KNN model\n", "def buildAndRunKNNModels(df_Results,Methodology, X_train,y_train, X_test, y_test ):\n", "\n", " #create KNN model and fit the model with train dataset\n", " knn = KNeighborsClassifier(n_neighbors = 5,n_jobs=16)\n", " knn.fit(X_train,y_train)\n", " score = knn.score(X_test,y_test)\n", " print(\"model score\")\n", " print(score)\n", " \n", " #Accuracy\n", " y_pred = knn.predict(X_test)\n", " KNN_Accuracy = metrics.accuracy_score(y_pred=y_pred, y_true=y_test)\n", " print(\"Confusion Matrix\")\n", " Plot_confusion_matrix(y_test, y_pred)\n", " print(\"classification Report\")\n", " print(classification_report(y_test, y_pred))\n", "\n", "\n", " knn_probs = knn.predict_proba(X_test)[:, 1]\n", "\n", " # Calculate roc auc\n", " knn_roc_value = roc_auc_score(y_test, knn_probs)\n", " print(\"KNN roc_value: {0}\" .format(knn_roc_value))\n", " fpr, tpr, thresholds = metrics.roc_curve(y_test, knn_probs)\n", " threshold = thresholds[np.argmax(tpr-fpr)]\n", " print(\"KNN threshold: {0}\".format(threshold))\n", "\n", " roc_auc = metrics.auc(fpr, tpr)\n", " print(\"ROC for the test dataset\",'{:.1%}'.format(roc_auc))\n", " plt.plot(fpr,tpr,label=\"Test, auc=\"+str(roc_auc))\n", " plt.legend(loc=4)\n", " plt.show()\n", " \n", " df_Results = df_Results.append(pd.DataFrame({'Methodology': Methodology,'Model': 'KNN','Accuracy': score,'roc_value': knn_roc_value,'threshold': threshold}, index=[0]),ignore_index= True)\n", "\n", " return df_Results" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "edRYtZFwSgyq" }, "outputs": [], "source": [ "# Created a common function to fit and predict on a Tree models for both gini and entropy criteria\n", "def buildAndRunTreeModels(df_Results, Methodology, X_train,y_train, X_test, y_test ):\n", " #Evaluate Decision Tree model with 'gini' & 'entropy'\n", " criteria = ['gini', 'entropy'] \n", " scores = {} \n", " \n", " for c in criteria: \n", " dt = DecisionTreeClassifier(criterion = c, random_state=42) \n", " dt.fit(X_train, y_train) \n", " y_pred = dt.predict(X_test)\n", " test_score = dt.score(X_test, y_test) \n", " tree_preds = dt.predict_proba(X_test)[:, 1]\n", " tree_roc_value = roc_auc_score(y_test, tree_preds)\n", " scores = test_score \n", " print(c + \" score: {0}\" .format(test_score))\n", " print(\"Confusion Matrix\")\n", " Plot_confusion_matrix(y_test, y_pred)\n", " print(\"classification Report\")\n", " print(classification_report(y_test, y_pred))\n", " print(c + \" tree_roc_value: {0}\" .format(tree_roc_value))\n", " fpr, tpr, thresholds = metrics.roc_curve(y_test, tree_preds)\n", " threshold = thresholds[np.argmax(tpr-fpr)]\n", " print(\"Tree threshold: {0}\".format(threshold))\n", " roc_auc = metrics.auc(fpr, tpr)\n", " print(\"ROC for the test dataset\",'{:.1%}'.format(roc_auc))\n", " plt.plot(fpr,tpr,label=\"Test, auc=\"+str(roc_auc))\n", " plt.legend(loc=4)\n", " plt.show()\n", " \n", " df_Results = df_Results.append(pd.DataFrame({'Methodology': Methodology,'Model': 'Tree Model with {0} criteria'.format(c),'Accuracy': test_score,'roc_value': tree_roc_value,'threshold': threshold}, index=[0]),ignore_index= True)\n", "\n", " return df_Results" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "DxjsWkzmSvrX" }, "outputs": [], "source": [ "# Created a common function to fit and predict on a Random Forest model\n", "def buildAndRunRandomForestModels(df_Results, Methodology, X_train,y_train, X_test, y_test ):\n", " #Evaluate Random Forest model\n", "\n", " # Create the model with 100 trees\n", " RF_model = RandomForestClassifier(n_estimators=100, \n", " bootstrap = True,\n", " max_features = 'sqrt', random_state=42)\n", " # Fit on training data\n", " RF_model.fit(X_train, y_train)\n", " RF_test_score = RF_model.score(X_test, y_test)\n", " RF_model.predict(X_test)\n", "\n", " print('Model Accuracy: {0}'.format(RF_test_score))\n", "\n", "\n", " # Actual class predictions\n", " rf_predictions = RF_model.predict(X_test)\n", "\n", " print(\"Confusion Matrix\")\n", " Plot_confusion_matrix(y_test, rf_predictions)\n", " print(\"classification Report\")\n", " print(classification_report(y_test, rf_predictions))\n", "\n", " # Probabilities for each class\n", " rf_probs = RF_model.predict_proba(X_test)[:, 1]\n", "\n", " # Calculate roc auc\n", " roc_value = roc_auc_score(y_test, rf_probs)\n", "\n", " print(\"Random Forest roc_value: {0}\" .format(roc_value))\n", " fpr, tpr, thresholds = metrics.roc_curve(y_test, rf_probs)\n", " threshold = thresholds[np.argmax(tpr-fpr)]\n", " print(\"Random Forest threshold: {0}\".format(threshold))\n", " roc_auc = metrics.auc(fpr, tpr)\n", " print(\"ROC for the test dataset\",'{:.1%}'.format(roc_auc))\n", " plt.plot(fpr,tpr,label=\"Test, auc=\"+str(roc_auc))\n", " plt.legend(loc=4)\n", " plt.show()\n", " \n", " df_Results = df_Results.append(pd.DataFrame({'Methodology': Methodology,'Model': 'Random Forest','Accuracy': RF_test_score,'roc_value': roc_value,'threshold': threshold}, index=[0]),ignore_index= True)\n", "\n", " return df_Results" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "f9XNkvL3S5j8" }, "outputs": [], "source": [ "# Created a common function to fit and predict on a XGBoost model\n", "def buildAndRunXGBoostModels(df_Results, Methodology,X_train,y_train, X_test, y_test ):\n", " #Evaluate XGboost model\n", " XGBmodel = XGBClassifier(random_state=42)\n", " XGBmodel.fit(X_train, y_train)\n", " y_pred = XGBmodel.predict(X_test)\n", "\n", " XGB_test_score = XGBmodel.score(X_test, y_test)\n", " print('Model Accuracy: {0}'.format(XGB_test_score))\n", "\n", " print(\"Confusion Matrix\")\n", " Plot_confusion_matrix(y_test, y_pred)\n", " print(\"classification Report\")\n", " print(classification_report(y_test, y_pred))\n", " # Probabilities for each class\n", " XGB_probs = XGBmodel.predict_proba(X_test)[:, 1]\n", "\n", " # Calculate roc auc\n", " XGB_roc_value = roc_auc_score(y_test, XGB_probs)\n", "\n", " print(\"XGboost roc_value: {0}\" .format(XGB_roc_value))\n", " fpr, tpr, thresholds = metrics.roc_curve(y_test, XGB_probs)\n", " threshold = thresholds[np.argmax(tpr-fpr)]\n", " print(\"XGBoost threshold: {0}\".format(threshold))\n", " roc_auc = metrics.auc(fpr, tpr)\n", " print(\"ROC for the test dataset\",'{:.1%}'.format(roc_auc))\n", " plt.plot(fpr,tpr,label=\"Test, auc=\"+str(roc_auc))\n", " plt.legend(loc=4)\n", " plt.show()\n", " \n", " df_Results = df_Results.append(pd.DataFrame({'Methodology': Methodology,'Model': 'XGBoost','Accuracy': XGB_test_score,'roc_value': XGB_roc_value,'threshold': threshold}, index=[0]),ignore_index= True)\n", "\n", " return df_Results\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "FKqc5fmqQFcr" }, "outputs": [], "source": [ "# Created a common function to fit and predict on a SVM model\n", "def buildAndRunSVMModels(df_Results, Methodology, X_train,y_train, X_test, y_test ):\n", " #Evaluate SVM model with sigmoid kernel model\n", " from sklearn.svm import SVC\n", " from sklearn.metrics import accuracy_score\n", " from sklearn.metrics import roc_auc_score\n", "\n", " clf = SVC(kernel='sigmoid', random_state=42)\n", " clf.fit(X_train,y_train)\n", " y_pred_SVM = clf.predict(X_test)\n", " SVM_Score = accuracy_score(y_test,y_pred_SVM)\n", " print(\"accuracy_score : {0}\".format(SVM_Score))\n", " print(\"Confusion Matrix\")\n", " Plot_confusion_matrix(y_test, y_pred_SVM)\n", " print(\"classification Report\")\n", " print(classification_report(y_test, y_pred_SVM))\n", "\n", " # Run classifier\n", " classifier = SVC(kernel='sigmoid' , probability=True)\n", " svm_probs = classifier.fit(X_train, y_train).predict_proba(X_test)[:, 1]\n", "\n", " # Calculate roc auc\n", " roc_value = roc_auc_score(y_test, svm_probs)\n", " \n", " print(\"SVM roc_value: {0}\" .format(roc_value))\n", " fpr, tpr, thresholds = metrics.roc_curve(y_test, svm_probs)\n", " threshold = thresholds[np.argmax(tpr-fpr)]\n", " print(\"SVM threshold: {0}\".format(threshold))\n", " roc_auc = metrics.auc(fpr, tpr)\n", " print(\"ROC for the test dataset\",'{:.1%}'.format(roc_auc))\n", " plt.plot(fpr,tpr,label=\"Test, auc=\"+str(roc_auc))\n", " plt.legend(loc=4)\n", " plt.show()\n", " \n", " df_Results = df_Results.append(pd.DataFrame({'Methodology': Methodology,'Model': 'SVM','Accuracy': SVM_Score,'roc_value': roc_value,'threshold': threshold}, index=[0]),ignore_index= True)\n", "\n", " return df_Results" ] }, { "cell_type": "markdown", "metadata": { "id": "9wQEqU7fTX8E" }, "source": [ "- Build different models on the imbalanced dataset and see the result" ] }, { "cell_type": "markdown", "metadata": { "id": "RuewaD3sfYdl" }, "source": [ "## Perform cross validation with RepeatedKFold" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "l301O3XJfaiW", "outputId": "d7fdc026-68ca-495e-b166-9de2d2f7656e" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "TRAIN: [ 0 1 2 ... 284804 284805 284806] TEST: [ 11 15 18 ... 284791 284798 284803]\n", "TRAIN: [ 0 1 3 ... 284800 284802 284803] TEST: [ 2 16 19 ... 284804 284805 284806]\n", "TRAIN: [ 0 1 2 ... 284804 284805 284806] TEST: [ 7 8 9 ... 284779 284784 284785]\n", "TRAIN: [ 0 1 2 ... 284804 284805 284806] TEST: [ 4 14 22 ... 284778 284786 284795]\n", "TRAIN: [ 2 4 7 ... 284804 284805 284806] TEST: [ 0 1 3 ... 284799 284800 284802]\n", "TRAIN: [ 0 2 3 ... 284803 284804 284806] TEST: [ 1 7 10 ... 284796 284799 284805]\n", "TRAIN: [ 0 1 2 ... 284804 284805 284806] TEST: [ 4 5 8 ... 284785 284800 284803]\n", "TRAIN: [ 0 1 2 ... 284804 284805 284806] TEST: [ 3 17 22 ... 284793 284795 284801]\n", "TRAIN: [ 0 1 3 ... 284804 284805 284806] TEST: [ 2 6 13 ... 284791 284797 284798]\n", "TRAIN: [ 1 2 3 ... 284801 284803 284805] TEST: [ 0 9 11 ... 284802 284804 284806]\n", "TRAIN: [ 0 2 3 ... 284804 284805 284806] TEST: [ 1 22 25 ... 284790 284797 284800]\n", "TRAIN: [ 0 1 5 ... 284804 284805 284806] TEST: [ 2 3 4 ... 284793 284799 284801]\n", "TRAIN: [ 0 1 2 ... 284803 284804 284806] TEST: [ 5 7 13 ... 284792 284802 284805]\n", "TRAIN: [ 1 2 3 ... 284801 284802 284805] TEST: [ 0 9 18 ... 284803 284804 284806]\n", "TRAIN: [ 0 1 2 ... 284804 284805 284806] TEST: [ 6 11 31 ... 284789 284794 284798]\n", "TRAIN: [ 0 3 4 ... 284804 284805 284806] TEST: [ 1 2 6 ... 284797 284800 284801]\n", "TRAIN: [ 0 1 2 ... 284804 284805 284806] TEST: [ 3 5 13 ... 284790 284798 284799]\n", "TRAIN: [ 0 1 2 ... 284803 284804 284806] TEST: [ 4 20 23 ... 284785 284794 284805]\n", "TRAIN: [ 0 1 2 ... 284804 284805 284806] TEST: [ 7 15 24 ... 284776 284784 284803]\n", "TRAIN: [ 1 2 3 ... 284801 284803 284805] TEST: [ 0 9 16 ... 284802 284804 284806]\n", "TRAIN: [ 1 2 3 ... 284804 284805 284806] TEST: [ 0 5 9 ... 284791 284797 284802]\n", "TRAIN: [ 0 1 2 ... 284802 284803 284804] TEST: [ 12 14 24 ... 284795 284805 284806]\n", "TRAIN: [ 0 1 2 ... 284804 284805 284806] TEST: [ 8 11 16 ... 284775 284779 284798]\n", "TRAIN: [ 0 4 5 ... 284802 284805 284806] TEST: [ 1 2 3 ... 284799 284803 284804]\n", "TRAIN: [ 0 1 2 ... 284804 284805 284806] TEST: [ 4 7 13 ... 284786 284800 284801]\n", "TRAIN: [ 0 1 2 ... 284802 284803 284805] TEST: [ 4 7 13 ... 284800 284804 284806]\n", "TRAIN: [ 0 1 2 ... 284803 284804 284806] TEST: [ 3 8 9 ... 284786 284802 284805]\n", "TRAIN: [ 1 2 3 ... 284804 284805 284806] TEST: [ 0 5 14 ... 284797 284798 284803]\n", "TRAIN: [ 0 2 3 ... 284804 284805 284806] TEST: [ 1 10 12 ... 284790 284793 284796]\n", "TRAIN: [ 0 1 3 ... 284804 284805 284806] TEST: [ 2 6 16 ... 284794 284795 284801]\n", "TRAIN: [ 0 1 2 ... 284803 284804 284806] TEST: [ 5 10 11 ... 284793 284802 284805]\n", "TRAIN: [ 4 5 6 ... 284804 284805 284806] TEST: [ 0 1 2 ... 284798 284799 284803]\n", "TRAIN: [ 0 1 2 ... 284804 284805 284806] TEST: [ 6 23 30 ... 284772 284781 284796]\n", "TRAIN: [ 0 1 2 ... 284803 284804 284805] TEST: [ 7 14 16 ... 284795 284800 284806]\n", "TRAIN: [ 0 1 2 ... 284803 284805 284806] TEST: [ 4 12 20 ... 284797 284801 284804]\n", "TRAIN: [ 0 1 2 ... 284803 284804 284806] TEST: [ 3 10 13 ... 284801 284802 284805]\n", "TRAIN: [ 0 1 3 ... 284804 284805 284806] TEST: [ 2 7 11 ... 284776 284778 284796]\n", "TRAIN: [ 0 2 3 ... 284804 284805 284806] TEST: [ 1 5 6 ... 284781 284793 284799]\n", "TRAIN: [ 0 1 2 ... 284802 284804 284805] TEST: [ 15 26 28 ... 284792 284803 284806]\n", "TRAIN: [ 1 2 3 ... 284803 284805 284806] TEST: [ 0 4 18 ... 284797 284800 284804]\n", "TRAIN: [ 3 5 6 ... 284804 284805 284806] TEST: [ 0 1 2 ... 284765 284775 284792]\n", "TRAIN: [ 0 1 2 ... 284804 284805 284806] TEST: [ 5 6 13 ... 284789 284791 284801]\n", "TRAIN: [ 0 1 2 ... 284804 284805 284806] TEST: [ 3 8 10 ... 284794 284796 284802]\n", "TRAIN: [ 0 1 2 ... 284803 284804 284806] TEST: [ 15 26 27 ... 284797 284798 284805]\n", "TRAIN: [ 0 1 2 ... 284801 284802 284805] TEST: [ 11 12 14 ... 284803 284804 284806]\n", "TRAIN: [ 0 2 3 ... 284803 284805 284806] TEST: [ 1 4 5 ... 284791 284796 284804]\n", "TRAIN: [ 0 1 2 ... 284804 284805 284806] TEST: [ 8 18 20 ... 284793 284798 284803]\n", "TRAIN: [ 0 1 2 ... 284804 284805 284806] TEST: [ 6 16 21 ... 284799 284801 284802]\n", "TRAIN: [ 1 4 5 ... 284804 284805 284806] TEST: [ 0 2 3 ... 284783 284787 284795]\n", "TRAIN: [ 0 1 2 ... 284802 284803 284804] TEST: [ 9 11 13 ... 284800 284805 284806]\n" ] } ], "source": [ "#Lets perfrom RepeatedKFold and check the results\n", "from sklearn.model_selection import RepeatedKFold\n", "rkf = RepeatedKFold(n_splits=5, n_repeats=10, random_state=None)\n", "# X is the feature set and y is the target\n", "for train_index, test_index in rkf.split(X,y):\n", " print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n", " X_train_cv, X_test_cv = X.iloc[train_index], X.iloc[test_index]\n", " y_train_cv, y_test_cv = y.iloc[train_index], y.iloc[test_index]" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "background_save": true, "base_uri": "https://localhost:8080/", "height": 1000 }, "id": "LLMJjBKChFi5", "outputId": "04196649-f8c0-4dc8-9f84-f1de1763984c" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Logistic Regression with L1 And L2 Regularisation\n", "Max auc_roc for l1: 0.9716875695206596\n", "Max auc_roc for l2: 0.9824314358117661\n", "Parameters for l1 regularisations\n", "[[-0.05654202 -0.12687445 -0.18329793 0.06517016 -0.26816868 0.09371079\n", " 0.11315491 -0.02950946 -0.14619099 -0.15186632 -0.03379757 0.0052306\n", " -0.14166404 -0.22963865 0.01025206 -0.12351513 -0.23366442 0.0318926\n", " 0.00940142 0.24174861 0.09508459 -0.02690745 -0.00508297 -0.0137626\n", " -0.02693767 0.00565164 -0.05510321 0.01415745 -0.00677184 -0.11623537]]\n", "[-2.08874902]\n", "{1: array([[0.5 , 0.5 , 0.5 , 0.5 , 0.51586717,\n", " 0.53227491, 0.55249395, 0.87760282, 0.89904025, 0.90594942,\n", " 0.89284979, 0.89370134, 0.9063488 , 0.90275698, 0.90404486,\n", " 0.9064614 , 0.89238267, 0.90842314, 0.91808137, 0.95334594],\n", " [0.5 , 0.5 , 0.5 , 0.5 , 0.53734275,\n", " 0.53820472, 0.54413218, 0.91099188, 0.92926138, 0.94124818,\n", " 0.91952723, 0.93060394, 0.95478426, 0.94028225, 0.95129005,\n", " 0.96565781, 0.93148076, 0.95085163, 0.92582775, 0.97033775],\n", " [0.5 , 0.5 , 0.5 , 0.5 , 0.72507579,\n", " 0.57710644, 0.56893554, 0.8707088 , 0.85903294, 0.86331865,\n", " 0.84102147, 0.84469035, 0.89134307, 0.86686079, 0.90283641,\n", " 0.91837887, 0.84265565, 0.88974607, 0.92998205, 0.98376635],\n", " [0.5 , 0.5 , 0.5 , 0.5 , 0.57180644,\n", " 0.56954715, 0.58500769, 0.92103979, 0.93033964, 0.93670807,\n", " 0.91716311, 0.92085623, 0.95978457, 0.93970543, 0.95402726,\n", " 0.96061882, 0.92359969, 0.951663 , 0.94047703, 0.98503737],\n", " [0.5 , 0.5 , 0.5 , 0.5 , 0.51386788,\n", " 0.53792537, 0.56637997, 0.81532645, 0.83321499, 0.84386788,\n", " 0.82119587, 0.82930864, 0.87055836, 0.86204331, 0.85233128,\n", " 0.87069356, 0.8296208 , 0.87028028, 0.85096175, 0.93814904],\n", " [0.5 , 0.5 , 0.5 , 0.5 , 0.61376499,\n", " 0.58464666, 0.57164109, 0.95573416, 0.95903606, 0.9675536 ,\n", " 0.9495512 , 0.95938468, 0.98301937, 0.9714627 , 0.98134539,\n", " 0.98301623, 0.95184494, 0.97503261, 0.98776808, 0.99150654],\n", " [0.5 , 0.5 , 0.5 , 0.5 , 0.48502653,\n", " 0.5181779 , 0.52910172, 0.87697561, 0.93641032, 0.96283528,\n", " 0.93084103, 0.94315359, 0.96732569, 0.96540415, 0.95054317,\n", " 0.95803502, 0.94065835, 0.96207546, 0.88069699, 0.98597656],\n", " [0.5 , 0.5 , 0.5 , 0.5 , 0.52181441,\n", " 0.43056798, 0.45276741, 0.92245846, 0.94444212, 0.93856808,\n", " 0.92203611, 0.93123679, 0.95243505, 0.94260341, 0.94639535,\n", " 0.95220701, 0.92573909, 0.95246573, 0.95538843, 0.97624309],\n", " [0.5 , 0.5 , 0.5 , 0.5 , 0.66036587,\n", " 0.65685973, 0.6962936 , 0.97135292, 0.94058867, 0.94451071,\n", " 0.92831718, 0.93299569, 0.94854261, 0.94175476, 0.94667027,\n", " 0.95776938, 0.93515839, 0.94426431, 0.95277384, 0.96073563],\n", " [0.5 , 0.5 , 0.5 , 0.5 , 0.50841041,\n", " 0.55043317, 0.6065368 , 0.9344787 , 0.93703096, 0.94036785,\n", " 0.93356894, 0.93226125, 0.94386594, 0.93538281, 0.94340261,\n", " 0.95391379, 0.93237172, 0.93850438, 0.9568719 , 0.9717774 ]])}\n", "Parameters for l2 regularisations\n", "[[ 8.80304653e-03 4.36259293e-02 -8.98755386e-02 2.30784765e-01\n", " 8.49167017e-02 -4.73305072e-02 -3.62443873e-02 -1.23790481e-01\n", " -8.21269195e-02 -1.82380127e-01 1.36851952e-01 -2.07093646e-01\n", " -5.49124428e-02 -3.83981357e-01 -3.86558885e-03 -9.74262378e-02\n", " -9.22877095e-02 -5.94326146e-03 4.95813020e-03 -2.23740146e-02\n", " 4.57767683e-02 2.63720950e-02 -1.44376449e-02 -1.17784634e-02\n", " -8.04335822e-03 5.62101822e-03 8.90043516e-04 -2.75192949e-04\n", " 3.60010272e-04 9.38501247e-03]]\n", "[-7.58616457]\n", "{1: array([[0.6001821 , 0.60167935, 0.61851682, 0.75010776, 0.91117748,\n", " 0.95519419, 0.96272355, 0.96909347, 0.96852606, 0.95966219,\n", " 0.95966219, 0.95011304, 0.95011304, 0.95011304, 0.95011304,\n", " 0.95011304, 0.95011304, 0.95011304, 0.95011304, 0.95011304],\n", " [0.58446837, 0.58594756, 0.60252164, 0.72535275, 0.88689947,\n", " 0.9407563 , 0.95645355, 0.96812431, 0.96852114, 0.96765858,\n", " 0.96765858, 0.96765858, 0.96765858, 0.96765858, 0.96765858,\n", " 0.96765858, 0.96765858, 0.96765858, 0.96765858, 0.96765858],\n", " [0.42389317, 0.42584337, 0.44792762, 0.61036209, 0.8002295 ,\n", " 0.88258238, 0.96658634, 0.98539208, 0.98469245, 0.98429362,\n", " 0.9808157 , 0.9808157 , 0.9808157 , 0.9808157 , 0.9808157 ,\n", " 0.9808157 , 0.9808157 , 0.9808157 , 0.9808157 , 0.9808157 ],\n", " [0.56027039, 0.56197516, 0.58049352, 0.73170917, 0.91439657,\n", " 0.96594746, 0.98994065, 0.99285997, 0.99427347, 0.99625302,\n", " 0.99625302, 0.99625302, 0.99625302, 0.99625302, 0.99625302,\n", " 0.99625302, 0.99625302, 0.99625302, 0.99625302, 0.99625302],\n", " [0.61440207, 0.61612552, 0.63287536, 0.75239064, 0.90696197,\n", " 0.9387129 , 0.97837767, 0.97830512, 0.97285447, 0.97258848,\n", " 0.97078039, 0.97078039, 0.97078039, 0.97078039, 0.97078039,\n", " 0.97078039, 0.97078039, 0.97078039, 0.97078039, 0.97078039],\n", " [0.54472752, 0.54687994, 0.56951485, 0.72842403, 0.91059206,\n", " 0.96982117, 0.98963888, 0.99028901, 0.98828525, 0.98434893,\n", " 0.98142181, 0.98142181, 0.98142181, 0.98142181, 0.98142181,\n", " 0.98142181, 0.98142181, 0.98142181, 0.98142181, 0.98142181],\n", " [0.68980726, 0.69174925, 0.71042467, 0.83241313, 0.97299008,\n", " 0.99165834, 0.99252861, 0.99137302, 0.99373532, 0.9947191 ,\n", " 0.99499828, 0.99499828, 0.99499828, 0.99499828, 0.99499828,\n", " 0.99499828, 0.99499828, 0.99499828, 0.99499828, 0.99499828],\n", " [0.61873084, 0.62044785, 0.63627727, 0.75605172, 0.91648114,\n", " 0.96235669, 0.98789605, 0.99124417, 0.9902379 , 0.98552251,\n", " 0.98552251, 0.98552251, 0.98552251, 0.98552251, 0.98552251,\n", " 0.98552251, 0.98552251, 0.98552251, 0.98552251, 0.98552251],\n", " [0.50036882, 0.50243264, 0.52610301, 0.70730012, 0.92229051,\n", " 0.98296839, 0.99324511, 0.98985668, 0.98041804, 0.96180756,\n", " 0.96180756, 0.96180756, 0.96180756, 0.96180756, 0.96180756,\n", " 0.96180756, 0.96180756, 0.96180756, 0.96180756, 0.96180756],\n", " [0.5932507 , 0.5948966 , 0.61330808, 0.74276116, 0.89370445,\n", " 0.93614939, 0.96316914, 0.96777652, 0.97014954, 0.95869253,\n", " 0.95869253, 0.95869253, 0.95869253, 0.95869253, 0.95869253,\n", " 0.95869253, 0.95869253, 0.95869253, 0.95869253, 0.95869253]])}\n", "Accuarcy of Logistic model with l2 regularisation : 0.9988764242200804\n", "Confusion Matrix\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "classification Report\n", " precision recall f1-score support\n", "\n", " 0 1.00 1.00 1.00 56857\n", " 1 0.79 0.52 0.63 104\n", "\n", " accuracy 1.00 56961\n", " macro avg 0.90 0.76 0.81 56961\n", "weighted avg 1.00 1.00 1.00 56961\n", "\n", "Accuarcy of Logistic model with l1 regularisation : 0.9988939800916417\n", "Confusion Matrix\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "classification Report\n", " precision recall f1-score support\n", "\n", " 0 1.00 1.00 1.00 56857\n", " 1 0.76 0.58 0.66 104\n", "\n", " accuracy 1.00 56961\n", " macro avg 0.88 0.79 0.83 56961\n", "weighted avg 1.00 1.00 1.00 56961\n", "\n", "l2 roc_value: 0.9880535310583501\n", "l2 threshold: 0.0015991086309251055\n", "ROC for the test dataset 98.8%\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "l1 roc_value: 0.8754589787334217\n", "l1 threshold: 0.05635712326164136\n", "ROC for the test dataset 87.5%\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Time Taken by Model: --- 354.30288434028625 seconds ---\n", "------------------------------------------------------------\n", "KNN Model\n", "model score\n", "0.9991046505503766\n", "Confusion Matrix\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "classification Report\n", " precision recall f1-score support\n", "\n", " 0 1.00 1.00 1.00 56857\n", " 1 0.85 0.62 0.72 104\n", "\n", " accuracy 1.00 56961\n", " macro avg 0.93 0.81 0.86 56961\n", "weighted avg 1.00 1.00 1.00 56961\n", "\n", "KNN roc_value: 0.8555698439134076\n", "KNN threshold: 0.2\n", "ROC for the test dataset 85.6%\n" ] }, { "data": { "image/png": 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e/9rXvuYnTpxwd/emTZtG3e64ceP81VdfPWP9e++95zfffHPU29xxxx3+u9/9zt3dT5w44QcOHHB395ycHF+2bJm7uz/77LP+k5/8xN3d//jHP/ptt93m7u5Hjx71Tp06+bZt2yLb+8UvfuFjxoypcH/FxcWRy/fee6/PmDHD3d1Hjhzp8+bNc3f3JUuW+NixYyPj3n33Xc/Pzz+j7rNty9390KFDPnDgQO/fv7+vXLnS3d3XrVvnvXr18uPHj/vWrVu9S5cuXlpaWmGbpaWlfumll/r27dvd3X3p0qU+ePBgP378uLu7f/HFF1Efu2ivDaDAz5KrOstF6pT/+r/rKPz8UFy3mdW+OT+9Jfu8brNq1Sruu+8+jhw5QuvWrZk3bx5paWn86le/Yu7cuaSmppKVlcVjjz3G3LlzSUlJ4cUXX2TWrFkMHDgw6ja3b9/O9773PY4ePQrAr3/9a77+9a+zbNkynnjiCf785z8DMHnyZHJychg/fjwrV67k7rvv5ujRozRu3JglS5bQrFmzc9a+e/duDh06xIABAwC44447WLhwIUOHDq0wzsw4fPgw7s6RI0e45JJLSE2NbyQUFxfz/vvvM2/ePAAaNWpEo0aNANi0aRPXXXcdAEOGDOHb3/4206dPx8w4evQopaWlHDt2jEaNGtG8eXMgdEbUW2+9xbRp03jyyScj93P6enfn2LFjkf5zYWFhZNz111/PiBEjIrcZPHgwy5YtO6Pms20L4KGHHuLHP/4xjz/+eGTdm2++yejRo2ncuDGdO3ema9eurFixgmuvvTYyZsmSJVx22WV06tQJgDlz5vDAAw/QuHFjANq2bXu+D21UarmIVOLuTJkyhQULFrBq1SomTJjAtGnTAHjsscdYs2YNn3zyCXPnziUzM5NJkyZx7733snbt2rOGOYRetO+88w6rV6/m5ZdfZurUqeeso6SkhNtuu42nn36ajz/+mHfffZeLLrrojD/ly/8cPHiQXbt2kZGREdlORkYGu3btOmP7kydPZv369bRv356ePXvy9NNP06BBKBKOHz9OTk4OAwYMYOHChRVuN23aNHr16sW9997LiRMnIus/+ugjevfuzdChQ1m3bh0A27Zto02bNuTl5XHVVVfx/e9/P/IfWnZ2Nm+++SYAr776Kjt37gRg5MiRNG3alLS0NDp27MiPfvQjLrnkEgDuuecefv7zn0fqLC8vL4927dqxYcMGpkyZAkDv3r15/fXXAXjjjTc4fPgw+/fvP+fjfrZtrV69mp07d3LzzTdXGLtr1y46dOhwzsd7/vz5jBkzJrK8adMm/vrXv9K/f3+++c1vsnLlyiprioVm6FKnnO9MuiacOHGCTz/9lCFDhgChnm1aWhoAvXr14vbbb2fEiBEVZnuxOHnyJJMnT2bt2rWkpKSwadOmc47fuHEjaWlp9O3bF/hq5njllVdGetfVsXjxYvr06cPSpUvZsmULQ4YMYeDAgTRv3pwdO3aQnp7O1q1bueGGG+jZsyeXXXYZM2bMoF27dpSUlDBx4kRmzpzJww8/zNVXX82OHTu4+OKLWbRoESNGjOCzzz6jtLSU1atXM2vWLPr378/dd9/NY489xvTp03nuueeYOnUq06dPZ9iwYZGZ+4oVK0hJSeHzzz/nwIEDDBw4kBtvvJHCwkLatm3LNddcE3Vm/fzzz3Pq1CmmTJnCyy+/TF5eHk888QSTJ09m3rx5XHfddaSnp5OSklLlY1N5W+PGjeO+++6L/KVxPkpKSsjPz69wLKC0tJQvv/yS5cuXs3LlSkaNGsXWrVurfbZXTDN0M8s1s41mttnMHohyfWMzezl8/d/MLLNaVYkkkLuTnZ3N2rVrWbt2LX//+995++23AXjrrbe46667WL16NX379qW0tDTm7T711FNceumlfPzxxxQUFEQOuKamplJWVhYZV9W5x1XN0NPT0ysc/CsqKiI9Pf2M7Tz//PPceuutmBldu3alc+fObNiwASAyvkuXLgwaNIg1a9YAkJaWhpnRuHFj8vLyWLFiBRD6z+biiy8G4KabbuLkyZPs27ePjIwMMjIy6N+/PxCafa9evRqAbt268fbbb7Nq1SrGjBnDZZddBsCf/vQncnNzadiwIW3btuUb3/gGBQUFfPDBB+Tn55OZmcno0aNZunQpY8eOrbBPKSkpjB49mtdeew2A9u3b8/rrr7NmzRoeffRRAFq2bHnuJyrKtg4fPsynn37KoEGDyMzMZPny5QwbNoyCggLS09Mjf11Ee7z/8pe/cPXVV3PppZdG1mVkZEQe+379+tGgQQP27dsXU13nUmWgm1kKMBsYCmQBY8wsq9KwO4ED7t4VeAqYWe3KRBKkcePG7N27N3I2xsmTJ1m3bh1lZWXs3LmT66+/npkzZ1JcXMyRI0do1qwZhw8fjtz+jTfe4MEHHzxju8XFxaSlpdGgQQP+8Ic/cOrUKQA6depEYWEhJ06c4ODBgyxZsgQIzcR3794d+XP88OHDlJaWRmbo0X5atmxJWloazZs3Z/ny5bg7L7zwAsOHDz+jno4dO0bu64svvmDjxo106dKFAwcORFop+/bt44MPPiArK/SS3717NxD6T2/hwoX06NEDgH/+85+RM2lWrFhBWVkZrVq1ol27dnTo0IGNGzcCoV7y6W3t2bMHgLKyMn72s58xadKkSF1Lly4F4OjRoyxfvpxu3boxY8YMioqK2L59O/Pnz+eGG27gxRdfxN3ZvHlzpK78/Hy6desWqf/0f5YzZsxgwoQJ53zuz7atFi1asG/fPrZv38727dsZMGAA+fn55OTkMGzYMObPn8+JEyfYtm0bn332Gf369Yts86WXXqrQbgEYMWIE7733HhBqv5SUlNC6detz1haLWFou/YDN7r4VwMzmA8OBwnJjhgP/Gb68APi1mZmffoZFkkiDBg1YsGABU6dOpbi4mNLSUu655x6uuOIKxo4dS3FxMe7O1KlTadmyJbfccgsjR47kzTffZNasWWzZsiXSHinvhz/8Id/97nd54YUXyM3NpWnTpgB06NCBUaNG0aNHDzp37sxVV10FhA4gvvzyy0yZMoVjx45x0UUX8e6770Zmwufym9/8hvHjx3Ps2DGGDh0aOSA6d+5cACZNmsRDDz3E+PHj6dmzJ+7OzJkzad26NR9++CE/+MEPaNCgAWVlZTzwwAOREL799tvZu3cv7k6fPn0i21uwYAFz5swhNTWViy66iPnz50faB7NmzeL222+npKSELl26RE6PfOmll5g9ezYAt956K3l5eQDcdddd5OXlkZ2djbuTl5dHr169zrqv7s64ceM4dOgQ7k7v3r2ZM2cOEDqd8sEHH8TMuO666yL3BzBw4EA2bNjAkSNHyMjI4Nlnn2XIkCFn3dbZZGdnM2rUKLKyskhNTWX27NmRts7Ro0d55513+O1vf1vhNhMmTGDChAn06NGDRo0a8fvf/z4ub66zqjLXzEYCue7+/fDy94D+7j653JhPw2OKwstbwmP2VdrWRGAiQMeOHa/ZsWPHeRf89rp/snDtLp4c1YcmDavuhUndt379erp3757oMuJm7NixPPXUU7Rp0ybRpUiSi/baMLNV7p4TbXytHhR192eAZwBycnIuaPb+rex2fCu7XVzrEomnF198MdElSD0Vy0HRXUCHcssZ4XVRx5hZKtACqPrcIBERiZtYAn0lcLmZdTazRsBoIL/SmHxgXPjySGCp+udyPvTrIlLRhbwmqgx0dy8FJgOLgfXAK+6+zsweMbPTH/LwLNDKzDYD9wFnnNoocjZNmjRh//79CnWRMA9/HnqTJk3O63ZVHhStKTk5OV7+w22k/tI3Fomc6WzfWFRnDoqKRNOwYcPz+lYWEYlOn+UiIhIQCnQRkYBQoIuIBETCDoqa2V7g/N8qGtIaqP4n2SQX7XP9oH2uH6qzz53cPerbkBMW6NVhZgVnO8obVNrn+kH7XD/U1D6r5SIiEhAKdBGRgEjWQH8m0QUkgPa5ftA+1w81ss9J2UMXEZEzJesMXUREKlGgi4gERJ0O9Pr45dQx7PN9ZlZoZp+Y2RIz65SIOuOpqn0uN+67ZuZmlvSnuMWyz2Y2KvxcrzOzP9V2jfEWw+92RzN7z8zWhH+/b0pEnfFiZs+Z2Z7wN7pFu97M7Ffhx+MTM7u62nfq7nXyB0gBtgBdgEbAx0BWpTE/BOaGL48GXk503bWwz9cD/yN8+d/rwz6HxzUD3geWAzmJrrsWnufLgTXA18LLbRNddy3s8zPAv4cvZwHbE113Nff5OuBq4NOzXH8T8BfAgAHA36p7n3V5hh75cmp3LwFOfzl1ecOB34cvLwAGWzy+aTVxqtxnd3/P3f8VXlxO6BukklkszzPAdGAmEITP2I1ln/8NmO3uBwDcfU8t1xhvseyzA6e/XbsF8Hkt1hd37v4+8OU5hgwHXvCQ5UBLM0urzn3W5UBPB3aWWy4Kr4s6xkNfxFEMtKqV6mpGLPtc3p2E/odPZlXuc/hP0Q7u/lZtFlaDYnmerwCuMLMPzGy5meXWWnU1I5Z9/k9grJkVAYuAKbVTWsKc7+u9Svo89CRlZmOBHOCbia6lJplZA+BJYHyCS6ltqYTaLoMI/RX2vpn1dPeDCa2qZo0B5rn7L8zsWuAPZtbD3csSXViyqMsz9Pr45dSx7DNmdiMwDRjm7idqqbaaUtU+NwN6AMvMbDuhXmN+kh8YjeV5LgLy3f2ku28DNhEK+GQVyz7fCbwC4O4fAU0IfYhVUMX0ej8fdTnQ6+OXU1e5z2Z2FfBbQmGe7H1VqGKf3b3Y3Vu7e6a7ZxI6bjDM3ZP5+wtj+d1eSGh2jpm1JtSC2VqbRcZZLPv8D2AwgJl1JxToe2u1ytqVD9wRPttlAFDs7rurtcVEHwmu4ijxTYRmJluAaeF1jxB6QUPoCX8V2AysALokuuZa2Od3gS+AteGf/ETXXNP7XGnsMpL8LJcYn2cj1GoqBP4OjE50zbWwz1nAB4TOgFkLfCvRNVdzf18CdgMnCf3FdScwCZhU7jmeHX48/h6P32u99V9EJCDqcstFRETOgwJdRCQgFOgiIgGhQBcRCQgFuohIQCjQRUQCQoEuIhIQ/x/sdKVEbzde9wAAAABJRU5ErkJggg==\n", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Time Taken by Model: --- 1237.4423096179962 seconds ---\n", "------------------------------------------------------------\n", "Decision Tree Models with 'gini' & 'entropy' criteria\n", "gini score: 0.9989817594494479\n", "Confusion Matrix\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "classification Report\n", " precision recall f1-score support\n", "\n", " 0 1.00 1.00 1.00 56857\n", " 1 0.73 0.71 0.72 104\n", "\n", " accuracy 1.00 56961\n", " macro avg 0.86 0.86 0.86 56961\n", "weighted avg 1.00 1.00 1.00 56961\n", "\n", "gini tree_roc_value: 0.8555229989947791\n", "Tree threshold: 1.0\n", "ROC for the test dataset 85.6%\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "entropy score: 0.9991397622934991\n", "Confusion Matrix\n" ] }, { "data": { "image/png": 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Ca/Asd59vZg8AXwFdgabAle7+ZFk2Fl+7HjgAeMvMHgduB3KBdXEb/yve+jOz54Cb3X2smZ0FXA2sAmYQgh4z+xHwa6AmsBwY6u5fFtt+Y+BvQKs46RJ3fyu2elsBe8X/3ubudwA3Am3MbDrwirv/oizvszrr1q0bY8aMSVymd+/e9O5d8o+rNBs2bGDJkiU0a9aMrKwsPv30UxYvXkzPnmFEND8/n0mTJvHRRx/Rtm1bPvvsM9auXUvTpk0BaNy4MbNnz6ZHjx4AzJ49m93bhv7FZZ8tY+WileQfmE9WThYzX5nJvGnzOPKiI4Fw6Iy7F9Vyy7G3MOTmIVWqf7I0vxr7q21+zVdLvuKhCx+i+8DudB3Q9Xvz3336Xdr3bk+dBnVYOmcp4x8cT5uD2uxQnenuk/wr8J6ZjSw2/c/Ag+7+oJmdDdwBHB/nNQN6AR2AZ4DSQvJSMzs1Pv5l/G8L4GB3LzCzPKC3u28ysyOAG4ATSyvUzJoBI4AfAKuB/wLT4uzxwEHu7mZ2LnAlcHmxVdxOaN2ON7NWwBhgnzivA3AoUA/4n5ndBVwFdHL3/UupZxgwDMKAg0DTpk1p0qQJCxYs2PrC22Dz5s1MmTKFVatWYWbUr1+fo446ivr16wOQm5tL//79GT9+POPHjy+an5sbdpH79u3LhAkTGDVqFBBC8/hbw//O7s4b977Bk3OfxLKMhi0bMvAPA2nWoRkAdRrU+V49tevXpkZujXJ9j1XFu8+8y8rPVzL23rGMvXds0fTCwF0wYwGv3/U63677ltq71Wbfw/blsPMO26FtWupfsfJkZmvcva6ZXQ9sJLTm6rr7dWa2DGjm7hvNrAaw2N0bxdbgK+4+Kq7ja3f/3hHDsXW2JnV3O772v+7+YHzekhC+7QAHarh7h9JakoTd3wHufnqcfjGwt7tfZGadgVsIAV4TmOvuR6euy8yWAItSymwMtAeuADa6+x/iej8EjiT8gXrO3Ttt7bNs3LixDxgwYGuLSQXS7JxmmS5BttGIHiOmuvv3mqc74zjJ24BzgO//ySzZhpTHBmBmfzCz6XHXNMnalMe/I4RmJ+BHhN1uCN0Aqe+7LD3mfwb+4u6dgfNKeU0WobW5f/y3h7uvKeE9FaCjCkQqjbSHpLuvAJ4gBGWhCUDhuP1QYNxW1nFNYfhsw6Z3BT6Pj89Mmf4ZsL+ZZcXWZvc4/W2gr5k1jK3b1B7+1HWdUcr2XgaGFz4xs63V+jVh91tEKrCddcbNLYRBmkLDgbPM7D3gNODnadjmSOD/zGwaW7bc3gLmArMIu+PvArj7YuA6YGJc5sOU11wHjDazqUBpI/UXA13N7D0zmwWcn1Scuy8nDDB9YGZ/3La3JiI7S9r6JKX8qE+y8lGfZOWTyT5JEZFKSyEpIpJAISkikkAhKSKSQCEpIpJAISkikkAhKSKSQCEpIpJAISkikkAhKSKSQCEpIpJAISkikkAhKSKSQCEpIpJAISkikkAhKSKSQCEpIpJAISkikkAhKSKSQCEpIpJAISkikkAhKSKSQCEpIpJAISkikkAhKSKSQCEpIpIgp7QZZvZnwEub7+4Xp6UiEZEKpNSQBKbstCpERCqoUkPS3R9MfW5mtd39m/SXJCJScWy1T9LMeprZLGB2fN7FzO5Me2UiIhVAWQZubgP6A8sB3H0G0CedRYmIVBRlGt129wXFJhWkoRYRkQonaeCm0AIzOxhwM6sB/Bz4ML1liYhUDGVpSZ4PXAjsASwC9o/PRUSqvK22JN19GTB0J9QiIlLhlGV0ey8ze9bMlprZEjN72sz22hnFiYhkWll2tx8FngCaAc2B0cBj6SxKRKSiKEtI1nb3h919U/z3CJCb7sJERCqCpHO3G8SHL5rZVcDjhHO5BwEv7ITaREQyLmngZiohFC0+Py9lngNXp6soEZGKIunc7T13ZiEiIhVRWQ4mx8w6AfuS0hfp7g+lqygRkYpiqyFpZtcC/Qgh+QJwDDAeUEiKSJVXltHtgcDhwBfufhbQBdg1rVWJiFQQZQnJde6+GdhkZnnAEqBlessSEakYytInOcXM6gN/J4x4rwEmprUqEZEKoiznbv8sPvybmb0E5Ln7e+ktS0SkYkg6mPzApHnu/m56ShIRqTiSWpK3JMxz4LByrkVKUaNRDZqd0yzTZYhUS0kHkx+6MwsREamIynT7BhGR6kohKSKSQCEpIpKgLFcmNzM71cx+G5+3MrPu6S9NRCTzytKSvBPoCQyJz78G/pq2ikREKpCynHHTw90PNLNpAO6+0sxqprkuEZEKoSwtyY1mlk04NhIzawxsTmtVIiIVRFlC8g7g30ATM/sD4TJpN6S1KhGRCqIs526PMrOphMulGXC8u3+Y9spERCqAslx0txXwDfBs6jR3n5/OwkREKoKyDNw8z3c3BMsF9gT+B3RMY10iIhVCWXa3O6c+j1cH+lkpi4uIVCnbfMZNvERajzTUIiJS4ZSlT/KylKdZwIHAorRVJCJSgZSlT7JeyuNNhD7Kf6WnHBGRiiUxJONB5PXc/YqdVI+ISIVSap+kmeW4ewFwyE6sR0SkQklqSU4m9D9ON7NngNHA2sKZ7v5UmmsTEcm4svRJ5gLLCfe0KTxe0gGFpIhUeUkh2SSObH/Ad+FYyNNalYhIBZEUktlAXbYMx0IKSRGpFpJCcrG7X7/TKhERqYCSzrgpqQUpIlKtJIXk4TutChGRCqrUkHT3FTuzEBGRiki3lBURSaCQFBFJoJAUEUmgkBQRSaCQFBFJoJAUEUmgkBQRSaCQFBFJoJAUEUmgkBQRSaCQFBFJoJAUEUmgkBQRSaCQFBFJoJAUEUmgkBQRSaCQFBFJoJAUEUmgkBQRSZB0S1mRtLvt+NtYu2ItlvXdzTmHjx5OwcYCbj/hdtr2bMvQ24YWzXvq2qdo0KIB/X7ar9xqmP78dCb/czLLFyynVp1adO7fmcMvOJysnO/aEB+8/AFv3PcGq79YTd2GdfnJb35C6wNal1sNlcUN/W4oerxx/UZyauYUfXfHXXUcKxasYNz948iumU1WdhaN92zMUT8/ipadW5ZbDaMuGcW86fOKnhdsLKBR60Zc8OgFAHzx0Re8ePOLfPnJl9SsXZMfnPAD+p7Td7u3p5CUjBty8xD26r7XFtNWLVoFwOczP2fBewtouV/5/ciK27h+I/0v7U+LTi1Yu3Itj1/xOBPyJtDrjF4AfPr2p7z611cZ+PuB7NFxD75e9nXaaqnofjX2V0WPbzv+Nn78qx9v8d2N/ftYOh7ZkQEjBlCwqYDX73qdJ375BJc9fxlm5XOX6tQ/mgAPXPAAe/5gz6Ln//rNv+jQrwNn3HUGqxav4v5h99O0XVPa92m/XdvT7rZUaAefdjCv3/V6WrfR7cRutD6gNdk1sslrkkfnozuz4L0FRfPH/n0sfc7pQ4vOLbAsI69JHnlN8tJaU1WQnZNNlx92Yc3yNaxbvS4t21i1aBXzp8+ny7Fdvpu2eBX79d+PrOwsGrRoQKsurVgyZ8l2b0MtSanQup3YjclPTGbO5Dnfa20WN3/6fB69/NFS559yyym02r/VVrc5b9o8Gu/VGIDNBZtZ9OEi2vduzx0n3sGmDZvo0LcDRw4/khq5NbbtzVQzm77dxPTnppO3ex6169f+3vz3x7zP8yOfL/X1F4y6gF2b7pq4jRkvzKDV/q2o37x+0bSDBh/EjBdncOh5h7Ly85UseH8BB5928Ha/D4WkZNzjVz5OVnbYqck/MJ/BfxxcNK9GrRr0PrM3r//t9a2GZKv9W3HVa1ftUC3TnpnGog8X8eNrfgzA2hVr2bxpM7Nen8VZd59Fdk42j//icd68/00Ov+DwHdpWVTXz1Zl8NP4jsmtk02SvJgy6aVCJy3Xu35nO/Tvv0LZmvDiDPmf12WLa3r325t8j/s2EURPwAqfPOX3YY989tnsblTYkzawAeD9l0vHu/lk5b+MzoKu7L9uRZRJeezzwkbvP2u4iq4DBIwcnBuCBPzmQCY9M4H/j/pfWOma/MZvX7nyN0/5yWlHLJ6dW+Il0P7k79RrVA+CgIQcx7v5xCslSdDwi9Emm2/zp81mzfA37HrZv0bR1q9fxyM8f4dhfHEvnozqzZvkanrj6Ceo2qEu3gd22azuVNiSBde6+f0kzLPQQm7tv3sk1bavjgeeAah2SW5NdI5u+5/blv3f/lyZ7NSl1uXnT5jHq0lGlzh9669BSR6Q/mfgJz97wLKf86RR2b7t70fRd8nYhr0neFoMO5TUAUd2999J7PHfjc6XOv/DxCxN3t6e/MJ19+u1Dzdo1i6atXLSSrOysoj7KvN3z6HRkJz6e8HG1DMktmFk+MAZ4G/gBcKyZXQV0A3YBnnT3a+OynxFbf2bWFbjZ3fuZWUPgMWAPYCJgKev/D9ASyAVud/d7SqjhVOBioGas42fuXmBma4DbgeOAdcBPgDbAj4G+ZvZr4ER3/7RcP5QqZL9j9mP8Q+P5ZOIndG/ZvcRlWh/QeovR17KaO2UuT/32KQaNHMQeHb+/W7b/cfsz+YnJtD2oLVk5WUx6bBLtDmm3zduRLe139H7sd/R+2/Xajes3MuvVWQwaueWufMOWDXF33h/zPp2O7MTalWuZ+epM8n+Qv911VuaQ3MXMpsfHc4FLgXbAGe4+CcDMrnH3FWaWDbxmZvu5+3sJ67wWGO/u15vZD4FzUuadHde1C/COmf3L3ZcXzjSzfYBBwCHuvtHM7gSGAg8BdYBJ7n6NmY0EfuruvzezZ4Dn3P3J8vhAqrKs7CwOHXYoT15T/h/Vm/e9yfq167dohbbev3XRoSZ9zunDN6u/4c8n/Zmcmjl0PKLj9/rBZOea/cZscuvlfi/8atWtxaCbBvHqX17l+ZueJ6dWDnv33ps+Z2//92XuvoPlZoaZrXH3uinP84H/uvueKdPOB4YR/hg0A4a7++MJLcnpwAB3nxNfvwLYOy53HXBCXHU+0N/dJxWuCxgM/AooPNZgF+Axd7/OzDYAue7uZjYIONLdzzWzByglJM1sWKydXZvu+oNLnr5kBz8xEUkyoseIqe7etfj0ytySLMnawgdmtidwBdDN3VfGQMqNszfx3TGiuWyFmfUDjgB6uvs3Zja2hNcZ8KC7X13CKjb6d3+NCijD5x535+8BaL5P88r5l0ykCqjKB5PnEUJztZntDhyTMu8zQr8lwIkp098ETgEws2OA3eL0XYGVMSA7AAeVsL3XgIFm1iS+voGZbe28ta+BemV+RyKy01XZkHT3GcA0YDbwKPBWyuwRwO1mNoXQskud3sfMZgIDgPlx+ktAjpl9CNwITCphe7OAXwMvm9l7wCuEXfwkjwO/MLNpZtZmG9+iiOwElbZPsjppvk9zH/bgsEyXIVKlldYnWWVbkiIi5UEhKSKSQCEpIpJAISkikkAhKSKSQCEpIpJAISkikkAhKSKSQCEpIpJAISkikkAhKSKSQCEpIpJAISkikkAhKSKSQCEpIpJAISkikkAhKSKSQCEpIpJAISkikkAhKSKSQCEpIpJAISkikkAhKSKSQCEpIpJAISkikkAhKSKSQCEpIpJAISkikkAhKSKSQCEpIpJAISkikkAhKSKSQCEpIpJAISkikkAhKSKSQCEpIpJAISkikkAhKSKSQCEpIpJAISkikkAhKSKSQCEpIpJAISkikkAhKSKSQCEpIpJAISkikkAhKSKSQCEpIpJAISkiksDcPdM1yFaY2VJgXqbrSINGwLJMFyHbpCp/Z63dvXHxiQpJyRgzm+LuXTNdh5RddfzOtLstIpJAISkikkAhKZl0T6YLkG1W7b4z9UmKiCRQS1JEJIFCUkQkgUJSRCSBQlJE0srMamS6hh2hkJQqxcyamFnz+LiXmdXOdE3VmZntBhxkZnXN7Awz65npmrZVTqYLEClnrYA/mNlMIB/4KfBNRiuq3moAxwLXEL6PfpksZnuoJSlVirtPAZYSwvEBd19e2Xf3KiMzMwB3XwJMBvYHngU2ZLKu7aGQlErPzIr/f/w0MBK41swOcfeNcTntOe0EZmYeD8A2s1zgFeAIoA5wkZntHeftnrkqy04Hk0ulVuwH+SNgV+A5d19lZhcSWpQDgdZAJ/yhZpUAAA3QSURBVOAO1//0aWNmWe6+OT6+BOgPvAWMBtYC1wP/AxoCXYAB7r42Q+WWiVqSUqmlBOS5wE3AccBkM+vk7n8lnEb3InAzMEYBmV4pAXkw0Bu4H3Dg10Bj4DfAZmAP4MqKHpCglqRUAfEH+QvgPHdfYma/BY6Oz983sw7AandfnNFCqwkzO4bQcjzd3Z8yszaEFuVBwN/dfZyZ1SjsBqno1JKUSqdwUCA+rksYPW0T/4u7Xw+8AIw2s47uPlsBmT6p3weAu78IvAmMiM8/BZ4HZgCnmlntyhKQoJakVDLF+iCbAF+5+3ozuwpoALzm7mPi/CuBJ9z9s4wVXMWV0CecC7zv7rPN7AWgtrv3i/NbEb6vVRkreDsoJKVSMrNLgcMJI6bPAQ8C5wN1gbfc/dkMllftmNkVwA+BccBhhP7GCWb2HNDS3btktMAdoN1tqRRSD/Mxs5OBY4AfA58A/d19GXAfYVCgh5nVyUih1YSZ1Yv/NTNrCXRz90MJx0GuAqYCuPtxwEdm1jpjxe4gtSSlwosDL4OAP7r7N2b2Y8IPsSeh1XKcu2+MP8QVQE13X565iquu2P/YCngZOMXdp5pZU+AW4FvCCPYAd//WzIYAL1a23evi1JKUyqAV0Ay4zMx2IZzq9hDQ1d37x4A8H/gDsFEBmT4ezAMeAO43swPd/QtgDtAZ+EUMyLOBq4FKf+68zkCQyuA1wrF2xwEXu/tNZtYb6G5m3YFewFnAYHdfn8E6q7TYijR33+zu/2dmm4BRsfvjcUKe3GdmUwj9xSe7+6IMllwutLstFVLqqGl8nkU4OHkw8Km732xmvwZ2I5y9cZO7f5iZaqu+YqPYu7n7yvj4CuBM4GTgI6AvkA18VFWOKlBISoVT7Ac5FCggHDrygpn1Ak4l/CD/EnftKs2ByZVRse/jUsLphDWAX7v73Hj64dnAue4+OYOlpoX6JKXCSflBXsJ3h/VcY2ZXuPt4Qn9kF+CSuAu4KWPFVgMp38cFhCMKfgZ0Bf5uZj3d/TbgMeAvZlar+MHllZ36JKXCiKPYxAORuxB2r/sRzvv9BuhjZjnufqOZbQbm6lzs9DGzPsDe7n5vvIJSa+B04DxCS34WcLeZXRj7KP/m7pXuUmhbo5CUCsHM8oAhQHMzuwmYCfwc+AnhMluHEn6cvzSzze4+MmPFVh8FwA1mtsHdHzazawinfx7n7ocDmNkAYLCZvVPYT1nVaHdbMi72eX0FjAK+IIRjM3dfCNQDRrv7JsKP9l7CSKqkSTxA3Nz9LcKlzW4ys2HuXgCsjIscHwNyGjCyKh9VoJakZFzKLvOhQIf4z83sVmA+4bCSNsCJQF93n5+ZSquHYn3CXYGngNvNLNvd7zKzUYSBmj0Jh13Ny1y16afRbakQzOwI4A7CISR9CBfIbQhcQThIeS9ghrt/lLEiq7jCUex4uFUL4D/Aqe4+y8y6Ea6sdKW73x+vvlTbw+0ZqjTtbktGlDACmkcIwaXu/i/gVeAA4G/AMncfrYBMr8IWZDxYfD7wAZATB8veAa4jtOpPcvc11SEgQSEpGZKyS9fVzBoDE4CmZjYozn8L+BhYDVTZ/q6KxswON7OH4tMvgcsJV1oCWEToN343E7Vlina3JSPiLl0e8AQwkXAFn96EkezFwGzgYuD4OIAjaVDCmU3tCYM1c9z9ajP7B+G+QRsIdzw8zt3nZKbazFBISkbEq1N/Y2b7EH6UE4ExQC1COK4H7nT39zJYZrVhZq3cfX7sBmlD2LVeEIOyC+Ge2R/Eq4xXKwpJ2enMrCdwCnCju38eDyK/BfgQGOHuX8eR1IKMFloNxBZ9G2AScIa7P2dm2UB74G5CP/FFmawx09QnKWlXwiBNDuGYx+Fmtoe7zwZ+RzhY/HQFZHqlfh9xkOZj4ELgT2Z2jLsXuPsswj1pmsbrRVZbOk5S0qrYxRE6Aks83C1vBeHyZpeY2XXALoRbvz6jgEyfYt/HiUBL4L/u/riZrQPuiN9HI8JhV2dWl1Hs0igkJa1SfpDDCacdvmNmddz9XDO7h9CCeYPQF3mSuy/IXLVVXwnfx9PAo2Z2u7vfY2brgR8R+iCvru4BCQpJSZNiLZYBwFDCvZevA46ycCe9H7r7z+OByos1ip0+xb6PAwlnN/UDhhG6Pg6NfZH3ufsYXX7uO+qTlHJXwg9yIaF1MgTYB9gXqA+8ZmZZ7v6OAjJ94mdc+H2cBCwFLiLcH+h4d98PeIdwu4Uh8eBxBWSkkJRyZWa5KT/Ic4BfAp8RbtzVFfidu68h3Lx+E+H0N0kTM2vq7pvj4x8SLh6y3sNtFZoTDhgHWAC8DbwULyYikUJSyo2ZHUY4Q6Pw8VGEQ3qWADUJ/7/1NLNfEk45HKqLVaRPDMVnzKxxbNE/DDzi7kvjCPcrQDsze5bQDfIbd/+y9DVWTwpJKRdm1h/4EzA+TvohofP/EDOr6e5rCVcUbwx0B37p7kszUWt1YGZHA1cBv42f82zCefBXmVmT2Nr/HBhAuMrPj+OhWFKMDiaXHWZmBwNPAqe5+2vxCjHdCYMDecBoYJK7b4qDA6ZduvQxswbAMsL9r/8TLzP3G+AyQnAeQjiSoNLfyXBnUEtSdkjcbdsPGAesNLN8wsUqcoFrgXWE1krvOIBQoIBML3dfQRgo+62Z7Qf8nXDmzApCSL4GvGJmu2ewzEpDhwDJDonXH3yYcPe8YYTDfG519xcAzGwEMJLQPzmJEJqSZu7+vJkVANOBX7n7rfGP1OZ4sPhGwgH8shXa3ZYdknKh1jqEW70eAdzj7q+kLJML5OnA5J3PzI4E/gz0cPfV8fAeteS3gUJSdlhKC6Uu4Ub17Qm7308WHn4imWNmxwC3AT3jLrdsA/VJyjYpfrGKeBWZQru4+18Idzo8knCPZskwd38RuBJ41cyySrjgiCRQS1LKrNiZNHWBDYVnZsQR7qeAg4DlxPOCddxdxWFmdeOB/LINFJJSJsUC8gqgF+GiFGe7+2Ize4xwoPLzmaxTpLxpdFvKJCUgDwOOA84HzgEmxrM5TokDOJa6vEhlp5CUMjOzfoQLI7wWz874RQzFyYQryiwEBaRULRq4kVKV0ME/l3AFmX3ifU9w9yuAl4CX4tk0IlWK+iSlRMX6IH9EuGLPKmAq4XCSFcBod58Rl2mi4yClKlJLUhKZ2c+AEYSBmn8AlwCXEq4HebqZdYqL6mIVUiWpT1K2YGatgOXuvtbMmgAnEy5p9qGZ3UxoSS4C/kC4VuQXoH5IqbrUkpQi8YIHlwMXxGPqlhCuJvMtgLuvJLQkO7v7YuAX7r4sYwWL7AQKSUm1lHAZ/+bAWXHg5hPgcTMr3OtoDbSIgzQ6B1iqPA3cCGbWDshy9//FYDwOOAaYHu+gdxfQBXgP6EHY/Z6VuYpFdh6FZDVnZg0JLchlhAGaAuAe4BSgLeEuhnebWQ/CNSLnu/vcTNUrsrNp4Kaac/flZnYE8Cqh+6UL8E9gDaEvsnNsXd7v7hsyV6lIZqglKUDRdQfvIITk7oTbjQ4m3IZhMXCIu6/OXIUimaGQlCLx7nq3Age5+woz241wxfHa7v5ZRosTyRDtbkuReMn/zcAkM+vp7sszXZNIpikkZQvu/qKZ1SRcoPUHurK4VHfa3ZYS6QKtIoFCUkQkgc64ERFJoJAUEUmgkBQRSaCQlCrBzArMbLqZfWBmo82s9g6s6wEzGxgf32tm+yYs2y/eKXJbt/GZmTUq6/Riy2zTgJqZXRdv3ibbQSEpVcU6d9/f3TsRTqc8P3VmylWMtom7n7uVi3n0A7Y5JKXyUEhKVTQOaBtbeePM7Blglpllm9kfzewdM3vPzM6DcKsKM/uLmf3PzF4FmhSuyMzGmlnX+PhoM3vXzGaY2Wtmlk8I40tjK7a3mTU2s3/FbbxjZofE1zY0s5fNbKaZ3QsUv3/Q95jZf8xsanzNsGLzbo3TXzOzxnFaGzN7Kb5mnJl1KI8Ps7rTweRSpcQW4zGEm5MBHAh0cve5MWhWu3s3M6sFvGVmLwMHAO2BfQnnrc8i3Koidb2Ngb8DfeK6GsRTN/8GrHH3m+NyjwK3uvv4eJX3McA+wLXAeHe/Pp7+eU4Z3s7ZcRu7AO+Y2b/iWVB1gCnufqmZ/Tau+yLC1ZvOd/eP41Wb7iScgy87QCEpVcUuZjY9Ph4H3EfYDZ6ccmm3o4D9CvsbgV2BdkAf4DF3LwAWmdnrJaz/IODNwnW5+4pS6jgC2DflRpN5ZlY3bmNAfO3zZrayDO/pYjM7IT5uGWtdDmwmXKkJ4BHgqbiNg4HRKduuVYZtyFYoJKWqWOfu+6dOiGGxNnUSMNzdxxRb7thyrCOLcIGQ9SXUUmYW7nF+BNDT3b8xs7GE63mWxON2VxX/DGTHqU9SqpMxhPv31AAws73NrA7wJjAo9lk2Aw4t4bWTgD5mtmd8bYM4/WugXspyLwPDC5+YWWFovUm4kDFmdgyw21Zq3RVYGQOyA6ElWygLKGwNn0LYjf8KmGtmJ8VtmMV7o8uOUUhKdXIvob/xXTP7ALibsDf1b+DjOO8hYGLxF7r7UmAYYdd2Bt/t7j4LnFA4cANcDHSNA0Oz+G6UfQQhZGcSdrvnb6XWl4AcM/sQuJEQ0oXWAt3jezgMuD5OHwqcE+ubCfykDJ+JbIXO3RYRSaCWpIhIAoWkiEgChaSISAKFpIhIAoWkiEgChaSISAKFpIhIAoWkiEiC/wf1LXPZPVNTAQAAAABJRU5ErkJggg==\n", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "classification Report\n", " precision recall f1-score support\n", "\n", " 0 1.00 1.00 1.00 56857\n", " 1 0.77 0.75 0.76 104\n", "\n", " accuracy 1.00 56961\n", " macro avg 0.89 0.87 0.88 56961\n", "weighted avg 1.00 1.00 1.00 56961\n", "\n", "entropy tree_roc_value: 0.8747977381852718\n", "Tree threshold: 1.0\n", "ROC for the test dataset 87.5%\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Time Taken by Model: --- 38.36465120315552 seconds ---\n", "------------------------------------------------------------\n", "Random Forest Model\n", "Model Accuracy: 0.9994031003669177\n", "Confusion Matrix\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "classification Report\n", " precision recall f1-score support\n", "\n", " 0 1.00 1.00 1.00 56857\n", " 1 0.89 0.77 0.82 104\n", "\n", " accuracy 1.00 56961\n", " macro avg 0.94 0.88 0.91 56961\n", "weighted avg 1.00 1.00 1.00 56961\n", "\n", "Random Forest roc_value: 0.9357987853467741\n", "Random Forest threshold: 0.02\n", "ROC for the test dataset 93.6%\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Time Taken by Model: --- 229.33287239074707 seconds ---\n", "------------------------------------------------------------\n", "XGBoost Model\n", "Model Accuracy: 0.9992977651375503\n", "Confusion Matrix\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "classification Report\n", " precision recall f1-score support\n", "\n", " 0 1.00 1.00 1.00 56857\n", " 1 0.83 0.77 0.80 104\n", "\n", " accuracy 1.00 56961\n", " macro avg 0.92 0.88 0.90 56961\n", "weighted avg 1.00 1.00 1.00 56961\n", "\n", "XGboost roc_value: 0.9843302056035317\n", "XGBoost threshold: 0.0018380082910880446\n", "ROC for the test dataset 98.4%\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Time Taken by Model: --- 52.32074785232544 seconds ---\n", "------------------------------------------------------------\n", "SVM Model with Sigmoid Kernel\n", "accuracy_score : 0.9981390776145082\n", "Confusion Matrix\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "classification Report\n", " precision recall f1-score support\n", "\n", " 0 1.00 1.00 1.00 56857\n", " 1 0.43 0.06 0.10 104\n", "\n", " accuracy 1.00 56961\n", " macro avg 0.71 0.53 0.55 56961\n", "weighted avg 1.00 1.00 1.00 56961\n", "\n", "SVM roc_value: 0.4967653330014165\n", "SVM threshold: 0.002992158867774835\n", "ROC for the test dataset 49.7%\n" ] }, { "data": { "image/png": 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fhHYW27dvH+PHj+f888+nX79+rFy5EoC77777hM962bJlAKxevTpybPDgwSxevBgIDc0NHTqUwYMH079/f+66665IXFOnTmXw4MEMGjSI8ePHc+DAAQCOHDnCFVdcQZ8+fSgrK2P79u2R59x333306dOH8847j5deeilyfMqUKXTv3p0BAwY0+nn96le/wszYs2cPAO+++y7Dhg2jXbt2PPjggye0bWnfW83d0/L1pS99yU/FhLn/9Alz/3lKz5XMVFlZme4QIu666y5/4IEHkv6cZLvooot85cqVfvz4cR85cqQvW7as0XZ1dXU+fPhwHzVqlP/pT39yd/cXXnjBL730Uq+trfUDBw54aWmp19TUuLv7448/7ldddZUfO3bM3d3//e9/n/SaS5cu9eHDh0fuX3311f673/3O3d2PHDnin376qbvH/tw+//xzr62tdXf3Dz/80Lt16+a1tbV+/Phx/+yzz9zd/ejRoz506FBfuXKlu3skPnf32267ze+77z53d58zZ45///vfd3f3Z555xidMmODu7hs3bvRBgwb54cOH/f333/dzzjnH6+rq3N399ddf97Vr13r//v1Pim3Hjh0+YsQI7927t1dXV0c+g9WrV/tPf/rTk/rT0r431NjvBlDuMfKqZrlIRrnn+Y1Ufrg/oa9Z8j87ctd3+rfoOWvXruX222/nwIEDdO3alSeffJKePXvy8MMPM3fuXPLz8ykpKWHWrFnMnTuXvLw8nn76aWbPns1Xv/rVRl9z+/btXHXVVXz++ecA/Pa3v+Xiiy9mxYoVPPjgg7zwwgsATJs2jdLSUq699lrWrFnDLbfcwueff067du149dVX6dChQ5Ox7969m/379/PlL38ZgKuvvprnnnuOUaNGndR29uzZjBs3jjVr1kSOVVZWcskll5Cfn09+fj6DBg1i+fLlTJgwgUcffZT58+fTpk3on/vu3buf9JrPPPMMkyZNAqCmpoY33niDJ598EoC2bdvStm3bJuP/whe+ELl9+PDhyFiymXHGGWcAoamutbW1kcc6duwIhArUQ4cORY4vWbKEu+++G4Dx48czbdo03J0lS5YwceJE2rVrR3FxMX369GH16tUMGzaMSy655IRKPtptt93GL3/5S8aMGRM51r17d7p3786LL754QttT6XtrachFpAF3Z/r06SxatIi1a9cyZcoUZs6cCcCsWbN46623WL9+PXPnzqWoqIgbb7yR2267jYqKipjJHEK/+C+//DLr1q1j4cKFzJgxo8k4jh49yhVXXMFvfvMb3n77bV555RVOP/10Nm/eHPlXveHXvn372LVrF4WFhZHXKSwsZNeuXSe9/q5du1i8eDE33XTTCccHDx7M8uXLOXjwIHv27OG1115j586dAGzdupWFCxdSWlrKqFGjeO+990547sGDB1m+fDnjxo0DYNu2bXTr1o3rrruOCy64gO9973uRP2gQ+qM2aNAgpkyZwqeffho5vmrVKvr378/AgQMjf0ABjh07xpAhQ+jevTuXXXYZZWVlkedcd9119OjRg3fffZfp06dH+tirVy8A8vPzOfPMM9m7d+8Jx5v6jKItWbKEgoICBg8e3GS7eqfa99ZQhS4ZpaWVdDIcOXKEDRs2cNlllwGhJNKzZ08ABg0axJVXXsnYsWMZO3Zsi163traWadOmUVFRQV5eHv/617+abL9582Z69uzJRRddBPynCj3vvPOoqKhoabdOcuutt3L//fdHqu16I0aMYM2aNVx88cV069aNYcOGkZeXB4Q+m/bt21NeXs5f/vIXpkyZwt/+9rfIc59//nm+8pWv0LlzZwDq6upYt24ds2fPpqysjFtuuYVZs2bx85//nJtuuok777wTM+POO+/khz/8IY8//jgAZWVlbNy4kU2bNnHNNdcwatQo2rdvT15eHhUVFezbt4/LL7+cDRs2RMa6n3jiCY4dO8b06dNZuHAh1113Xas/o3oHDx7kF7/4BX/961/jfs6p9r014qrQzWykmW02sy1mdkcjj7czs4Xhx1eZWVGrIxNJE3enf//+VFRUUFFRwTvvvBP5RX7xxRf5wQ9+wLp167jooouoq6uL+3UfeughzjrrLN5++23Ky8sjJ1zz8/M5fvx4pF1zc4+bq9ALCgqoqqqKtK+qqqKgoOCk1ykvL2fixIkUFRWxaNEibr75Zp577jkAZs6cSUVFBS+//DLuTt++fYFQJfvd734XgMsvv5z169ef8JoLFiyIDLfUty8sLIxU0uPHj2fdunUAnHXWWeTl5dGmTRuuv/56Vq9efVKM/fr144wzzmDDhg0nHO/UqRPDhw9n+fLlJxzPy8tj4sSJ/PnPfwagoKAg8t9FXV0dNTU1dOnS5YTjTX1G9bZu3cq2bdsYPHgwRUVFVFVVceGFF/LRRx/FfE5r+34qmk3oZpYHzAFGASXAJDMradBsKvCpu/cBHgLuT0h0ImnQrl07qqurIzMSamtr2bhxI8ePH2fnzp0MHz6c+++/n5qaGg4cOECHDh347LPPIs9fvHgxP/nJT0563ZqaGnr27EmbNm344x//yLFjxwA4++yzqays5MiRI+zbt49XX30VCFXiu3fvjoxvf/bZZ9TV1UUq9Ma+OnXqRM+ePenYsSNvvvkm7s5TTz11wphvvW3btrF9+3a2b9/O+PHjeeSRRxg7dizHjh1j7969AKxfv57169czYsQIAMaOHctrr70GwOuvvx5J9PX9e/311094rx49etCrVy82b94MwKuvvkpJSSh97N69+4TPrL7S3rZtW+QP5QcffMC7775LUVER1dXV7Nu3D4BDhw7x8ssvc/755+PubNmyBQj9MV66dCnnn38+AKNHj+YPf/gDAIsWLeIb3/gGZsbo0aNZsGABR44cYdu2bbz33nsMHTo05s/EwIED+fjjjyOfV2FhIevWraNHjx4xn3MqfW+teIZchgJb3P19ADNbAIwBKqPajAHuDt9eBPzWzCx8RlYkq7Rp04ZFixYxY8YMampqqKur49Zbb6Vv375MnjyZmpoa3J0ZM2bQqVMnvvOd7zB+/HiWLFnC7Nmz2bp1a2R4JNrNN9/MuHHjeOqppxg5ciRf/OIXAejVqxcTJkxgwIABFBcXc8EFFwChk2gLFy5k+vTpHDp0iNNPP51XXnklcmKwKY888gjXXnsthw4dYtSoUZETonPnzgXgxhtvjPnc2trayLmAjh078vTTT0fGsO+44w6uvPJKHnroIc444wx+//vfR563ePFiRowYEelXvdmzZ3PllVdy9OhRzjnnHJ544gkAfvSjH1FRUYGZUVRUxGOPPQbA3//+d2bNmsVpp51GmzZteOSRR+jatSvr16/nmmuu4dixYxw/fpwJEybw7W9/m+PHj3PNNdewf/9+3J3Bgwfz6KOPAqHpjFdddRV9+vShc+fOLFiwAID+/fszYcIESkpKyM/PZ86cOZFhpUmTJrFixQr27NlDYWEh99xzD1OnTo35eX300UeUlpayf/9+2rRpw69//WsqKyvp2LFji/veWtZczjWz8cBId/9e+P5VQJm7T4tqsyHcpip8f2u4zZ4Gr3UDcANA7969v/TBBx+0OOB7nt8IZMZYqyTGpk2b6NevX7rDSJjJkyfz0EMP0a1bt3SHIlmusd8NM1vr7qWNtU/pSVF3nwfMAygtLT2l6l2JXDLd008/ne4QJEfFc1J0F9Ar6n5h+FijbcwsHzgT2JuIAEVEJD7xJPQ1wLlmVmxmbYGJwNIGbZYC14Rvjwf+n8bPpSX04yJyolP5nWg2obt7HTANeAnYBDzr7hvN7F4zGx1u9n+BLma2BbgdOGlqo0gs7du3Z+/evUrqImEevh56+/btW/S8Zk+KJktpaamXl5en5b0ls2jHIpGTxdqxKGNOioo05rTTTmvRriwi0jhdy0VEJCCU0EVEAkIJXUQkINJ2UtTMqoGWLxUN6QrsabZVsKjPuUF9zg2t6fPZ7t7oMuS0JfTWMLPyWGd5g0p9zg3qc25IVp815CIiEhBK6CIiAZGtCX1eugNIA/U5N6jPuSEpfc7KMXQRETlZtlboIiLSgBK6iEhAZHRCz8XNqePo8+1mVmlm683sVTM7Ox1xJlJzfY5qN87M3MyyfopbPH02swnh7/VGM5uf6hgTLY6f7d5m9pqZvRX++f5WOuJMFDN73Mw+Du/o1tjjZmYPhz+P9WZ2Yavf1N0z8gvIA7YC5wBtgbeBkgZtbgbmhm9PBBamO+4U9Hk48IXw7Ztyoc/hdh2AN4A3gdJ0x52C7/O5wFvA/wjf757uuFPQ53nATeHbJcD2dMfdyj5fAlwIbIjx+LeA/wYM+DKwqrXvmckVemRzanc/CtRvTh1tDPCH8O1FwDfNzFIYY6I122d3f83dD4bvvkloB6lsFs/3GeDnwP1AEK6xG0+frwfmuPunAO7+cYpjTLR4+uxA/e7aZwIfpjC+hHP3N4BPmmgyBnjKQ94EOplZz9a8ZyYn9AJgZ9T9qvCxRtt4aCOOGqBLSqJLjnj6HG0qob/w2azZPof/Fe3l7i+mMrAkiuf73Bfoa2b/MLM3zWxkyqJLjnj6fDcw2cyqgGXA9NSEljYt/X1vlq6HnqXMbDJQCnwt3bEkk5m1Af4LuDbNoaRaPqFhl68T+i/sDTMb6O770hpVck0CnnT3X5nZMOCPZjbA3Y+nO7BskckVei5uTh1PnzGzS4GZwGh3P5Ki2JKluT53AAYAK8xsO6GxxqVZfmI0nu9zFbDU3WvdfRvwL0IJPlvF0+epwLMA7r4SaE/oIlZBFdfve0tkckLPxc2pm+2zmV0APEYomWf7uCo002d3r3H3ru5e5O5FhM4bjHb3bN6/MJ6f7ecIVeeYWVdCQzDvpzLIBIunzzuAbwKYWT9CCb06pVGm1lLg6vBsly8DNe6+u1WvmO4zwc2cJf4WocpkKzAzfOxeQr/QEPqG/wnYAqwGzkl3zCno8yvAv4GK8NfSdMec7D43aLuCLJ/lEuf32QgNNVUC7wAT0x1zCvpcAvyD0AyYCmBEumNuZX+fAXYDtYT+45oK3AjcGPU9nhP+PN5JxM+1lv6LiAREJg+5iIhICyihi4gEhBK6iEhAKKGLiASEErqISEAooYuIBIQSuohIQPx/dZTL2lNj7mgAAAAASUVORK5CYII=\n", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Time Taken by Model: --- 267.0935242176056 seconds ---\n" ] } ], "source": [ "#Run Logistic Regression with L1 And L2 Regularisation\n", "print(\"Logistic Regression with L1 And L2 Regularisation\")\n", "start_time = time.time()\n", "df_Results = buildAndRunLogisticModels(df_Results,\"RepeatedKFold Cross Validation\", X_train_cv,y_train_cv, X_test_cv, y_test_cv)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))\n", "print('-'*60 )\n", "\n", "#Run KNN Model\n", "print(\"KNN Model\")\n", "start_time = time.time()\n", "df_Results = buildAndRunKNNModels(df_Results,\"RepeatedKFold Cross Validation\",X_train_cv,y_train_cv, X_test_cv, y_test_cv)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))\n", "print('-'*60 )\n", "\n", "#Run Decision Tree Models with 'gini' & 'entropy' criteria\n", "print(\"Decision Tree Models with 'gini' & 'entropy' criteria\")\n", "start_time = time.time()\n", "df_Results = buildAndRunTreeModels(df_Results,\"RepeatedKFold Cross Validation\",X_train_cv,y_train_cv, X_test_cv, y_test_cv)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))\n", "print('-'*60 )\n", "\n", "#Run Random Forest Model\n", "print(\"Random Forest Model\")\n", "start_time = time.time()\n", "df_Results = buildAndRunRandomForestModels(df_Results,\"RepeatedKFold Cross Validation\",X_train_cv,y_train_cv, X_test_cv, y_test_cv)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))\n", "print('-'*60 )\n", "\n", "#Run XGBoost Modela\n", "print(\"XGBoost Model\")\n", "start_time = time.time()\n", "df_Results = buildAndRunXGBoostModels(df_Results,\"RepeatedKFold Cross Validation\",X_train_cv,y_train_cv, X_test_cv, y_test_cv)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))\n", "print('-'*60 )\n", "\n", "#Run SVM Model with Sigmoid Kernel\n", "print(\"SVM Model with Sigmoid Kernel\")\n", "start_time = time.time()\n", "df_Results = buildAndRunSVMModels(df_Results,\"RepeatedKFold Cross Validation\",X_train_cv,y_train_cv, X_test_cv, y_test_cv)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "background_save": true }, "id": "_mFqgqhphO87", "outputId": "c56cdb34-fae7-48c9-924e-fb15ae0e0e83" }, "outputs": [ { "data": { "text/html": [ "\n", "
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MethodologyModelAccuracyroc_valuethreshold
0RepeatedKFold Cross ValidationLogistic Regression with L2 Regularisation0.9988760.9880540.001599
1RepeatedKFold Cross ValidationLogistic Regression with L1 Regularisation0.9988940.8754590.056357
2RepeatedKFold Cross ValidationKNN0.9991050.8555700.200000
3RepeatedKFold Cross ValidationTree Model with gini criteria0.9989820.8555231.000000
4RepeatedKFold Cross ValidationTree Model with entropy criteria0.9991400.8747981.000000
5RepeatedKFold Cross ValidationRandom Forest0.9994030.9357990.020000
6RepeatedKFold Cross ValidationXGBoost0.9992980.9843300.001838
7RepeatedKFold Cross ValidationSVM0.9981390.4967650.002992
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\n", " " ], "text/plain": [ " Methodology Model \\\n", "0 RepeatedKFold Cross Validation Logistic Regression with L2 Regularisation \n", "1 RepeatedKFold Cross Validation Logistic Regression with L1 Regularisation \n", "2 RepeatedKFold Cross Validation KNN \n", "3 RepeatedKFold Cross Validation Tree Model with gini criteria \n", "4 RepeatedKFold Cross Validation Tree Model with entropy criteria \n", "5 RepeatedKFold Cross Validation Random Forest \n", "6 RepeatedKFold Cross Validation XGBoost \n", "7 RepeatedKFold Cross Validation SVM \n", "\n", " Accuracy roc_value threshold \n", "0 0.998876 0.988054 0.001599 \n", "1 0.998894 0.875459 0.056357 \n", "2 0.999105 0.855570 0.200000 \n", "3 0.998982 0.855523 1.000000 \n", "4 0.999140 0.874798 1.000000 \n", "5 0.999403 0.935799 0.020000 \n", "6 0.999298 0.984330 0.001838 \n", "7 0.998139 0.496765 0.002992 " ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Checking the df_result dataframe which contains consolidated results of all the runs\n", "df_Results" ] }, { "cell_type": "markdown", "metadata": { "id": "VpnaPJRob7gj" }, "source": [ "### Results for cross validation with RepeatedKFold:\n", "Looking at Accuracy and ROC value we have \"Logistic Regression with L2 Regularisation\" which has provided best results for cross validation with RepeatedKFold technique" ] }, { "cell_type": "markdown", "metadata": { "id": "qL7U_gtfhgcy" }, "source": [ "## Perform cross validation with StratifiedKFold" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "background_save": true }, "id": "s6314798hfEY", "outputId": "f4ebce84-60a1-42c9-ba64-8b3ad4c4fb55" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "TRAIN: [ 30473 30496 31002 ... 284804 284805 284806] TEST: [ 0 1 2 ... 57017 57018 57019]\n", "TRAIN: [ 0 1 2 ... 284804 284805 284806] TEST: [ 30473 30496 31002 ... 113964 113965 113966]\n", "TRAIN: [ 0 1 2 ... 284804 284805 284806] TEST: [ 81609 82400 83053 ... 170946 170947 170948]\n", "TRAIN: [ 0 1 2 ... 284804 284805 284806] TEST: [150654 150660 150661 ... 227866 227867 227868]\n", "TRAIN: [ 0 1 2 ... 227866 227867 227868] TEST: [212516 212644 213092 ... 284804 284805 284806]\n" ] } ], "source": [ "#Lets perfrom StratifiedKFold and check the results\n", "from sklearn.model_selection import StratifiedKFold\n", "skf = StratifiedKFold(n_splits=5, random_state=None)\n", "# X is the feature set and y is the target\n", "for train_index, test_index in skf.split(X,y):\n", " print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n", " X_train_SKF_cv, X_test_SKF_cv = X.iloc[train_index], X.iloc[test_index]\n", " y_train_SKF_cv, y_test_SKF_cv = y.iloc[train_index], y.iloc[test_index]" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "background_save": true }, "id": "evEaffX7hfc5", "outputId": "83927165-fa69-4241-8bcf-aa3fe7a810ea" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Logistic Regression with L1 And L2 Regularisation\n", "Max auc_roc for l1: 0.9652106893977332\n", "Max auc_roc for l2: 0.9825815459373419\n", "Parameters for l1 regularisations\n", "[[-0.03660539 -0.1358827 -0.20474594 0.04333662 -0.24034598 0.08416903\n", " 0.12654905 -0.04815306 -0.14258132 -0.1384162 -0.11668372 0.05505155\n", " -0.15637116 -0.24216184 -0.03137093 -0.09904364 -0.23133976 0.05582481\n", " 0.02122044 0.20503748 0.09013502 0.00148754 -0.03796378 -0.00392139\n", " -0.14797782 -0.00701001 -0.06594801 -0.00660368 -0.00656465 -0.12981985]]\n", "[-2.0409044]\n", "{1: array([[0.5 , 0.5 , 0.5 , 0.5 , 0.48341269,\n", " 0.44979055, 0.48500892, 0.78098262, 0.9497821 , 0.94525947,\n", " 0.91827811, 0.91446679, 0.94989144, 0.94933682, 0.94178407,\n", " 0.94900653, 0.92481293, 0.94421561, 0.9164553 , 0.97793244],\n", " [0.5 , 0.5 , 0.5 , 0.5 , 0.54612019,\n", " 0.57709187, 0.60597219, 0.84651057, 0.93343227, 0.93465714,\n", " 0.92629828, 0.92557122, 0.94481541, 0.93298593, 0.95187361,\n", " 0.93810717, 0.92664917, 0.94492021, 0.92500884, 0.95841435],\n", " [0.5 , 0.5 , 0.5 , 0.5 , 0.58868006,\n", " 0.61887535, 0.63372622, 0.89640565, 0.952319 , 0.95115981,\n", " 0.93861224, 0.94358681, 0.96139027, 0.94896452, 0.9635843 ,\n", " 0.96250675, 0.94059027, 0.96353909, 0.93360628, 0.98182732],\n", " [0.5 , 0.5 , 0.5 , 0.5 , 0.59753909,\n", " 0.56683014, 0.55944301, 0.80696138, 0.84768477, 0.86696389,\n", " 0.82045338, 0.82698901, 0.88712716, 0.86862794, 0.89226625,\n", " 0.89140345, 0.82803893, 0.89201256, 0.85123391, 0.93335636],\n", " [0.5 , 0.5 , 0.5 , 0.5 , 0.46424579,\n", " 0.46709088, 0.53359722, 0.85076556, 0.91321611, 0.92052559,\n", " 0.88358815, 0.90359788, 0.93212983, 0.91699858, 0.91795313,\n", " 0.94482596, 0.90084275, 0.93494127, 0.90607695, 0.9475907 ],\n", " [0.5 , 0.5 , 0.5 , 0.5 , 0.48969022,\n", " 0.49824625, 0.57490495, 0.81629523, 0.89704532, 0.90870084,\n", " 0.88383751, 0.88365139, 0.91151501, 0.9094371 , 0.90086573,\n", " 0.91126345, 0.89436715, 0.91102519, 0.84094381, 0.94758903],\n", " [0.5 , 0.5 , 0.5 , 0.5 , 0.58201037,\n", " 0.60336924, 0.62128564, 0.84894626, 0.90090681, 0.90512155,\n", " 0.89270178, 0.89250973, 0.91931143, 0.90302748, 0.91340756,\n", " 0.922714 , 0.89387723, 0.91598754, 0.9027128 , 0.96890257],\n", " [0.5 , 0.5 , 0.5 , 0.5 , 0.57326378,\n", " 0.58939694, 0.63536139, 0.84721241, 0.93157583, 0.94273861,\n", " 0.91880661, 0.92145245, 0.95770837, 0.94044338, 0.95654723,\n", " 0.96156946, 0.92811832, 0.94816669, 0.91009013, 0.98462779],\n", " [0.5 , 0.5 , 0.5 , 0.5 , 0.51389705,\n", " 0.48751405, 0.50395124, 0.81327741, 0.88805511, 0.90222989,\n", " 0.88135241, 0.88281008, 0.90941216, 0.90417662, 0.89696847,\n", " 0.9172741 , 0.88400209, 0.91069129, 0.87289274, 0.95584893],\n", " [0.5 , 0.5 , 0.5 , 0.5 , 0.66361724,\n", " 0.68918194, 0.72247823, 0.93232732, 0.98019002, 0.98109933,\n", " 0.96781146, 0.97224117, 0.99130009, 0.97998907, 0.991123 ,\n", " 0.99108407, 0.97100909, 0.99297426, 0.96842813, 0.99601741]])}\n", "Parameters for l2 regularisations\n", "[[ 0.00681531 0.06180145 -0.06724339 0.21871062 0.05423582 -0.0320087\n", " -0.02285799 -0.11502845 -0.06927204 -0.16370152 0.12808492 -0.19230907\n", " -0.03680147 -0.36059767 0.00343994 -0.08795401 -0.07265105 -0.00067435\n", " 0.00391777 -0.02819846 0.03819632 0.02339497 -0.01161304 -0.00998604\n", " -0.00655644 0.00630679 -0.01014783 -0.00168482 0.00040028 0.00048285]]\n", "[-7.43014583]\n", "{1: array([[0.69244071, 0.69420377, 0.71447445, 0.83769026, 0.95579724,\n", " 0.97136042, 0.98915673, 0.99473675, 0.99129968, 0.99109226,\n", " 0.99109226, 0.99109226, 0.99109226, 0.99109226, 0.99109226,\n", " 0.99109226, 0.99109226, 0.99109226, 0.99109226, 0.99109226],\n", " [0.60697436, 0.60862966, 0.6291137 , 0.76881142, 0.90899198,\n", " 0.94877822, 0.96037283, 0.98264317, 0.98536053, 0.98263475,\n", " 0.98263475, 0.97925677, 0.97925677, 0.97925677, 0.97925677,\n", " 0.97925677, 0.97925677, 0.97925677, 0.97925677, 0.97925677],\n", " [0.54950204, 0.55126028, 0.57251994, 0.72611868, 0.90875479,\n", " 0.96392465, 0.99034223, 0.99137708, 0.98673407, 0.98309074,\n", " 0.98309074, 0.98150204, 0.98150204, 0.98150204, 0.98150204,\n", " 0.98150204, 0.98150204, 0.98150204, 0.98150204, 0.98150204],\n", " [0.54707441, 0.54908634, 0.56833155, 0.71128791, 0.87569482,\n", " 0.94729042, 0.98139655, 0.97264427, 0.95781099, 0.94861915,\n", " 0.95036986, 0.95036986, 0.95036986, 0.95036986, 0.95036986,\n", " 0.95036986, 0.95036986, 0.95036986, 0.95036986, 0.95036986],\n", " [0.64886636, 0.65011345, 0.66371055, 0.76645662, 0.89697375,\n", " 0.94549757, 0.96178938, 0.96559245, 0.97260251, 0.97253384,\n", " 0.97253384, 0.97253384, 0.97253384, 0.97253384, 0.97253384,\n", " 0.97253384, 0.97253384, 0.97253384, 0.97253384, 0.97253384],\n", " [0.66228247, 0.66391248, 0.68156449, 0.80446485, 0.9231736 ,\n", " 0.9480901 , 0.96876591, 0.97948167, 0.97236646, 0.96243299,\n", " 0.96243299, 0.95724845, 0.95724845, 0.95724845, 0.95724845,\n", " 0.95724845, 0.95724845, 0.95724845, 0.95724845, 0.95724845],\n", " [0.55939506, 0.56177489, 0.58416402, 0.74321685, 0.92780917,\n", " 0.95096188, 0.96429332, 0.98271992, 0.98049397, 0.97594834,\n", " 0.97345629, 0.97345629, 0.97345629, 0.97345629, 0.97345629,\n", " 0.97345629, 0.97345629, 0.97345629, 0.97345629, 0.97345629],\n", " [0.58343395, 0.58521738, 0.60600752, 0.75396114, 0.91771649,\n", " 0.96378917, 0.98693542, 0.99330143, 0.98871434, 0.98083321,\n", " 0.98083321, 0.98083321, 0.98083321, 0.98083321, 0.98083321,\n", " 0.98083321, 0.98083321, 0.98083321, 0.98083321, 0.98083321],\n", " [0.62634953, 0.62808235, 0.64618163, 0.7769624 , 0.90146397,\n", " 0.91719475, 0.93731407, 0.96514612, 0.96433707, 0.96047208,\n", " 0.96076534, 0.96076534, 0.96076534, 0.96076534, 0.96076534,\n", " 0.96076534, 0.96076534, 0.96076534, 0.96076534, 0.96076534],\n", " [0.50134951, 0.50385511, 0.52961323, 0.6970567 , 0.91655771,\n", " 0.98134047, 0.99670064, 0.9981726 , 0.99829066, 0.99797417,\n", " 0.99732987, 0.99732987, 0.99732987, 0.99732987, 0.99732987,\n", " 0.99732987, 0.99732987, 0.99732987, 0.99732987, 0.99732987]])}\n", "Accuarcy of Logistic model with l2 regularisation : 0.998771088990713\n", "Confusion Matrix\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "classification Report\n", " precision recall f1-score support\n", "\n", " 0 1.00 1.00 1.00 56863\n", " 1 0.97 0.30 0.45 98\n", "\n", " accuracy 1.00 56961\n", " macro avg 0.98 0.65 0.73 56961\n", "weighted avg 1.00 1.00 1.00 56961\n", "\n", "Accuarcy of Logistic model with l1 regularisation : 0.9987535331191517\n", "Confusion Matrix\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "classification Report\n", " precision recall f1-score support\n", "\n", " 0 1.00 1.00 1.00 56863\n", " 1 0.94 0.30 0.45 98\n", "\n", " accuracy 1.00 56961\n", " macro avg 0.97 0.65 0.72 56961\n", "weighted avg 1.00 1.00 1.00 56961\n", "\n", "l2 roc_value: 0.9833310423513443\n", "l2 threshold: 0.001571409441427542\n", "ROC for the test dataset 98.3%\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "l1 roc_value: 0.8890758561483437\n", "l1 threshold: 0.021087492766199874\n", "ROC for the test dataset 88.9%\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Time Taken by Model: --- 347.55983781814575 seconds ---\n", "------------------------------------------------------------\n", "KNN Model\n", "model score\n", "0.9991924299081828\n", "Confusion Matrix\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "classification Report\n", " precision recall f1-score support\n", "\n", " 0 1.00 1.00 1.00 56863\n", " 1 0.98 0.54 0.70 98\n", "\n", " accuracy 1.00 56961\n", " macro avg 0.99 0.77 0.85 56961\n", "weighted avg 1.00 1.00 1.00 56961\n", "\n", "KNN roc_value: 0.8057457828285457\n", "KNN threshold: 0.2\n", "ROC for the test dataset 80.6%\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Time Taken by Model: --- 1253.2651574611664 seconds ---\n", "------------------------------------------------------------\n", "Decision Tree Models with 'gini' & 'entropy' criteria\n", "gini score: 0.998841312476958\n", "Confusion Matrix\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "classification Report\n", " precision recall f1-score support\n", "\n", " 0 1.00 1.00 1.00 56863\n", " 1 0.67 0.65 0.66 98\n", "\n", " accuracy 1.00 56961\n", " macro avg 0.83 0.83 0.83 56961\n", "weighted avg 1.00 1.00 1.00 56961\n", "\n", "gini tree_roc_value: 0.8262492341959029\n", "Tree threshold: 1.0\n", "ROC for the test dataset 82.6%\n" ] }, { "data": { "image/png": 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KctPJz1LPbxHpmwIX6GWHj1F9rImvXTyZJbOyGDdcPb9FRCCAgd7mQ5NGkjNicKKHISJyzgjcmUHHEz0EEZFzUuACXURE4gtsoGvWXEQkVuAC3TXjIiISV+ACXURE4utUoJvZYjMrMbOdZnb7KZb5jJltN7NtZvZE1w4z3va6ewsiIsHSYdmimSUBDwGLgHJgnZmtcvft7ZaZBHwL+KC7V5nZqO4asKZcRETi68wR+lxgp7vvdvdG4Eng8hOW+TvgIXevAnD3g107TBER6UhnAj0L2NvucXnkufYmA5PN7BUze83MFsdbkZndYmbrzWx9ZWXl+xtx27pU5yIiEqOrToomA5OAjwBXA/9hZqETF3L3Fe5e7O7FI0eOfF8b0oyLiEh8nQn0CmBcu8fZkefaKwdWuXuTu78NvEk44EVEpId0JtDXAZPMbIKZDQCuAladsMyzhI/OMbMMwlMwu7twnCdRlYuISKwOA93dm4FlwIvADuCX7r7NzL5rZksii70IHDaz7cAa4Ovufrg7BuwqcxERiatT3RbdfTWw+oTnvt3ucwe+GvkQEZEE0JWiIiK9ROACXRMuIiLxBS7QRUQkvsAGuqpcRERiBS7QVeQiIhJf4AK9jS79FxGJFdhAFxGRWAEMdM25iIjEE8BAD9NJURGRWIENdBERiRW4QFeVi4hIfIEL9DaachERiRXYQBcRkViBC3TNuIiIxBe4QG+jC4tERGIFNtBFRCRW4AJdVS4iIvEFLtDbqMpFRCRWYANdRERiBS7QXXUuIiJxBS7Q22jGRUQkVmADXUREYgUu0FXlIiISX+ACvY2qXEREYgU20EVEJFbgAl0zLiIi8QUu0N+jORcRkfYCHOgiItJe4ALdVeYiIhJX4AK9japcRERiBTbQRUQkVqcC3cwWm1mJme00s9tPs9ynzMzNrLjrhigiIp3RYaCbWRLwEHAJMB242symx1kuFfgy8D9dPci44+qJjYiIBEhnjtDnAjvdfbe7NwJPApfHWe6fgHuB+i4c30l0TlREJL7OBHoWsLfd4/LIc1FmVgiMc/fnT7ciM7vFzNab2frKysozHqyIiJzaWZ8UNbN+wA+B/9vRsu6+wt2L3b145MiRZ7vds3q/iEhv05lArwDGtXucHXmuTSqQD6w1sz3AfGBVd50Y1Q0uRETi60ygrwMmmdkEMxsAXAWsanvR3WvcPcPdx7v7eOA1YIm7r++WEYuISFwdBrq7NwPLgBeBHcAv3X2bmX3XzJZ09wBPRRMuIiKxkjuzkLuvBlaf8Ny3T7HsR85+WKcbS3euXUQkuHSlqIhILxHYQFeRi4hIrMAFuqZcRETiC1ygi4hIfIENdFOdi4hIjMAFumZcRETiC1ygi4hIfIENdFW5iIjEClyg656iIiLxBS7QRUQkPgW6iEgvEbhA14SLiEh8gQv0NjopKiISK7CBLiIisYIX6JpzERGJK3iBHqF7ioqIxApsoIuISKzABbpuEi0iEl/gAr2NJlxERGIFNtBFRCRW4AJdrVxEROILXKC3UZGLiEiswAa6iIjEClyga8ZFRCS+wAV6G91TVEQkVmADXUREYgUu0FXlIiISX+ACvY2qXEREYgU20EVEJFbgAl29XERE4utUoJvZYjMrMbOdZnZ7nNe/ambbzWyrmb1kZrldP9QTttndGxARCZgOA93MkoCHgEuA6cDVZjb9hMU2AcXuXgA8A3yvqwcqIiKn15kj9LnATnff7e6NwJPA5e0XcPc17n4s8vA1ILtrh9l+W921ZhGRYOtMoGcBe9s9Lo88dyo3A7+N94KZ3WJm681sfWVlZedHGXdlZ/d2EZHepktPiprZtUAxcF+81919hbsXu3vxyJEju3LTIiJ9XnInlqkAxrV7nB15LoaZfQxYDnzY3Ru6Zngn04yLiEh8nTlCXwdMMrMJZjYAuApY1X4BM5sD/AhY4u4Hu36YJ1MvFxGRWB0Gurs3A8uAF4EdwC/dfZuZfdfMlkQWuw8YCjxtZpvNbNUpViciIt2kM1MuuPtqYPUJz3273ecf6+JxnW4wPbYpEZEgCdyVom3Uy0VEJFZgA11ERGIFLtA14SIiEl/gAr2NZlxERGIFNtBFRCRW4AJdRS4iIvEFLtDbmMpcRERiBDbQRUQkVuAC3TXnIiISV+ACvY0mXEREYgU20EVEJFbgAl0TLiIi8QUu0NuoyEVEJFZgA11ERGIFLtBV5CIiEl/gAr2N7lgkIhIrcIGuA3QRkfgCF+giIhJfcANdMy4iIjECF+i69F9EJL7ABXob1aGLiMRKTvQARJqamigvL6e+vj7RQxE5ZwwcOJDs7Gz69+/f6fco0CXhysvLSU1NZfz48epzL0J4avnw4cOUl5czYcKETr8vuFMuiR6AdJn6+npGjBihMBeJMDNGjBhxxv+1BjbQpXdRmIvEej+/E4ELdBW5iIjEF7hAb6MjOukqhw8fZvbs2cyePZsxY8aQlZUVfdzY2Njh+9euXctf/vKXHhhp523YsIGZM2cyceJEbrvttrjlvjU1NXziE59g1qxZzJgxg8ceewyAzZs3s2DBAmbMmEFBQQFPPfVU9D3uzvLly5k8eTLTpk3jwQcfBOA///M/KSgoYObMmZx//vls2bIlZlstLS3MmTOHj3/849Hn/vjHP1JYWEh+fj7XX389zc3Np11XfX09c+fOjY73jjvuOGmfbrvtNoYOHRp9/PLLL1NYWEhycjLPPPNMzLLf/OY3yc/PJz8/P2Yfb7jhBiZMmBD9Gdi8eTMAVVVVLF26lIKCAubOncsbb7wRfc8LL7zAlClTmDhxIvfcc0/0+WuuuYYpU6aQn5/PTTfdRFNTU4frOivunpCPoqIifz9W/GmX537zOa+rb3pf75dzz/bt2xM9hKg77rjD77vvvm5/T3c777zz/NVXX/XW1lZfvHixr169+qRl7rrrLv/GN77h7u4HDx709PR0b2ho8JKSEn/zzTfd3b2iosLHjBnjVVVV7u7+k5/8xK+77jpvaWlxd/cDBw64u/srr7zi7777rru7r1692ufOnRuzrR/84Ad+9dVX+2WXXebu7i0tLZ6dne0lJSXu7v6P//iP/uijj552Xa2trV5XV+fu7o2NjT537lx/9dVXo9tYt26dX3vttT5kyJDoc2+//bZv2bLFr7vuOn/66aejzz/33HP+sY99zJuamvzIkSNeXFzsNTU17u5+/fXXxyzb5mtf+5p/5zvfcXf3HTt2+EUXXeTu7s3NzZ6Xl+e7du3yhoYGLygo8G3btrm7+/PPP++tra3e2trqV111lf/7v//7add1oni/G8B6P0WuBq7KxdXNpVe78zfb2L6vtkvXOX1sGnd8YsYZvWfDhg189atf5ciRI2RkZPDTn/6UzMxMHnzwQR555BGSk5OZPn0699xzD4888ghJSUk8/vjj/Ou//isXXHBB3HXu2bOH6667jqNHjwLwb//2b5x//vmsXbuW73//+zz33HMALFu2jOLiYm644QbWrVvHl7/8ZY4ePUpKSgovvfQSqamppx37/v37qa2tZf78+QB87nOf49lnn+WSSy6JWc7MqKurw905cuQIw4cPJzk5mcmTJ0eXGTt2LKNGjaKyspJQKMTDDz/ME088Qb9+4X/uR40aBcD5558ffc/8+fMpLy+PPi4vL+f5559n+fLl/PCHPwTC/xUNGDAguq1FixZx9913c/PNN59yXWYWPfpuamqiqakp+p96S0sLX//613niiSf49a9/HX3/+PHjAaLjbbN9+3YWLlxIcnIyycnJFBQU8MILL/CZz3zmlF/X7du3c/vttwMwdepU9uzZw4EDB9i9ezcTJ04kLy8PgKuuuor/+q//Yvr06Vx66aXR98+dOze6L6da1+jRo0+5/c4I7pRLogcgvZa786UvfYlnnnmGDRs2cNNNN7F8+XIA7rnnHjZt2sTWrVt55JFHGD9+PLfeeitf+cpX2Lx58ynDHMLh9/vf/56NGzfy1FNPcdttt512HI2NjVx55ZU88MADbNmyhT/84Q8MGjSIkpKS6HTAiR/V1dVUVFSQnZ0dXU92djYVFRUnrX/ZsmXs2LGDsWPHMnPmTB544IGTgu/111+nsbGRD3zgAwDs2rWLp556iuLiYi655BLeeuutk9b74x//OOaPxz/8wz/wve99L2bdGRkZNDc3s379egCeeeYZ9u7d2+G6WlpamD17NqNGjWLRokXMmzcPCP9xXLJkCZmZmaf9mraZNWsWL7zwAseOHePQoUOsWbMmZvvLly+noKCAr3zlKzQ0NETf86tf/Sr6dSktLaW8vJyKigrGjRsXfW+8r3dTUxMrV65k8eLFp13X2QrcEbr0bmd6JN0dGhoaeOONN1i0aBEQDpG2oCgoKOCaa67hiiuu4Iorrjij9TY1NbFs2TI2b95MUlISb7755mmXLykpITMzk/POOw+AtLQ0AKZMmRKd1z0bL774IrNnz+aPf/wju3btYtGiRVxwwQXR7ezfv5/rrruOn/3sZ9EwbmhoYODAgaxfv55f/epX3HTTTfz3f/93dJ1r1qzhxz/+MX/+858BeO655xg1ahRFRUWsXbs2upyZ8eSTT0YD8+KLLyYpKSlmfCeuCyApKYnNmzdTXV3N0qVLeeONNxg+fDhPP/10zPo7cvHFF7Nu3TrOP/98Ro4cyYIFC6Lbv/vuuxkzZgyNjY3ccsst3HvvvXz729/m9ttv58tf/jKzZ89m5syZzJkz56Qxn8oXvvAFFi5cGP2DfzbrOp1OBbqZLQYeAJKAR939nhNeTwF+DhQBh4Er3X3PWY8uDlW5SHdzd2bMmMGrr7560mvPP/88L7/8Mr/5zW+46667+Otf/9rp9d5///2MHj2aLVu20NraysCBAwFITk6mtbU1ulxHtcclJSVceeWVcV9bu3YtWVlZJ015ZGVlnbTsY489xu23346ZMXHiRCZMmMDf/vY35s6dS21tLZdddhl33XVXdOoGwkefn/zkJwFYunQpN954Y/S1rVu38vnPf57f/va3jBgxAoBXXnmFVatWsXr1aurr66mtreXaa6/l8ccfZ8GCBdE/Br/73e9i/sDFW1d7oVCICy+8kBdeeIFp06axc+dOJk6cCMCxY8eYOHEiO3fuPO3Xcfny5dH/vD772c9Gp3/a/ninpKRw44038v3vfx8I/0FtO3Hs7kyYMIG8vDyOHz8ec3R/4tf7zjvvpLKykh/96EfR5061rrPV4ZSLmSUBDwGXANOBq81s+gmL3QxUuftE4H7g3rMeWYfj6u4tSF+VkpJCZWVlNNCbmprYtm0bra2t7N27lwsvvJB7772Xmpoajhw5QmpqKnV1ddH3//rXv+Zb3/rWSeutqakhMzOTfv36sXLlSlpaWgDIzc1l+/btNDQ0UF1dzUsvvQSEj8T379/PunXrAKirq6O5uTl6hB7vIxQKkZmZSVpaGq+99hruzs9//nMuv/zyk8aTk5MT3daBAwcoKSkhLy+PxsZGli5dyuc+9zk+/elPx7zniiuuYM2aNQD86U9/ioZgWVkZn/zkJ1m5cmXMHPzdd99NeXk5e/bs4cknn+Siiy7i8ccfB+DgwYNA+Kj/3nvv5dZbbz3tuiorK6murgbg+PHj/P73v2fq1KlcdtllvPPOO+zZs4c9e/YwePDgDsO8paWFw4cPA+E/Hlu3buXiiy8Gwv+ZQDhon332WfLz8wGorq6OVj09+uijLFy4kLS0NM477zzeeust3n77bRobG3nyySdZsmRJdLkXX3yRX/ziFzFTTqda11k71dnStg9gAfBiu8ffAr51wjIvAgsinycDhwA73Xrfb5XLI2t3eu43n/OjDapy6S3OxSqXTZs2+QUXXOAFBQU+ffp0X7FihTc2NvoHP/hBz8/P9xkzZvjdd9/t7u4lJSU+c+ZMnzVrlr/88st+3333+b/8y7+ctO4333zTZ86c6QUFBf6Nb3wjphrj61//uk+cONEXLVrkS5cu9ccee8zd3V9//XWfN2+eFxQU+Lx586JVHh1Zt26dz5gxw/Py8vyLX/yit7a2urv7ww8/7A8//LC7hytYFi1aFN2flStXurv7ypUrPTk52WfNmhX92LRpk/Qk9HAAAAXASURBVLu7V1VV+aWXXur5+fk+f/5837x5s7u733zzzR4KhaLLx/v9XrNmTbTKxT1c6TF16lSfPHmy33///dHnT7WuLVu2+OzZs33mzJk+Y8YMv/POO+Pue/uv6+uvv+5ZWVk+ePBgHz58uE+fPt3d3Y8fP+7Tpk3zadOm+bx586L75+5+4YUXRr8m11xzTfRr/pe//MUnTZrkkydP9qVLl0YrcdzD1SyTJk3yvLw8/+d//ufo80lJSZ6Xlxfdl7Yxn25d7Z1plYt5B3MYZvZpYLG7fz7y+Dpgnrsva7fMG5FlyiOPd0WWOXTCum4BbgHIyckpKi0tPeM/QL/ffoBnN1Xwg8/MYmD/s59zksTbsWMH06ZNS/Qwusy1117L/fffz8iRIxM9FAm4eL8bZrbB3YvjLd+jJ0XdfQWwAqC4uPh9zYYvmj6aRdPPrrRHpDu1TSmI9LTOlC1WAOPaPc6OPBd3GTNLBoYRPjkqIiI9pDOBvg6YZGYTzGwAcBWw6oRlVgHXRz7/NPBH72guR6Qd/biIxHo/vxMdBrq7NwPLCJ/43AH80t23mdl3zWxJZLEfAyPMbCfwVeD2Mx6J9FkDBw7k8OHDCnWRCI/0Q28rbe2sDk+Kdpfi4mJvu0pM+jbdsUjkZKe6Y9E5c1JUJJ7+/fuf0V1ZRCS+wPZyERGRWAp0EZFeQoEuItJLJOykqJlVAmd+qWhYBuH2An2J9rlv0D73DWezz7nuHvcy5IQF+tkws/WnOsvbW2mf+wbtc9/QXfusKRcRkV5CgS4i0ksENdBXJHoACaB97hu0z31Dt+xzIOfQRUTkZEE9QhcRkRMo0EVEeolzOtDNbLGZlZjZTjM7qYOjmaWY2VOR1//HzMb3/Ci7Vif2+atmtt3MtprZS2aWm4hxdqWO9rndcp8yMzezwJe4dWafzewzke/1NjN7oqfH2NU68bOdY2ZrzGxT5Of70kSMs6uY2U/M7GDkjm7xXjczezDy9dhqZoVnvdFT3Zsu0R9AErALyAMGAFuA6Scs8wXgkcjnVwFPJXrcPbDPFwKDI5//fV/Y58hyqcDLwGtAcaLH3QPf50nAJiA98nhUosfdA/u8Avj7yOfTgT2JHvdZ7vNCoBB44xSvXwr8FjBgPvA/Z7vNc/kIfS6w0913u3sj8CRw4q3LLwd+Fvn8GeCjZmY9OMau1uE+u/sadz8Wefga4TtIBVlnvs8A/wTcC/SGHrud2ee/Ax5y9yoAdz/Yw2Psap3ZZwfSIp8PA/b14Pi6nLu/DLx7mkUuB37uYa8BITPLPJttnsuBngXsbfe4PPJc3GU8fCOOGmBEj4yue3Rmn9u7mfBf+CDrcJ8j/4qOc/fne3Jg3agz3+fJwGQze8XMXjOzxT02uu7RmX3+DnCtmZUDq4Ev9czQEuZMf987pH7oAWVm1wLFwIcTPZbuZGb9gB8CNyR4KD0tmfC0y0cI/xf2spnNdPfqhI6qe10N/NTdf2BmC4CVZpbv7q2JHlhQnMtH6H3x5tSd2WfM7GPAcmCJuzf00Ni6S0f7nArkA2vNbA/hucZVAT8x2pnvczmwyt2b3P1t4E3CAR9Undnnm4FfArj7q8BAwk2seqtO/b6fiXM50Pvizak73GczmwP8iHCYB31eFTrYZ3evcfcMdx/v7uMJnzdY4u5Bvn9hZ362nyV8dI6ZZRCegtndk4PsYp3Z5zLgowBmNo1woFf26Ch71irgc5Fql/lAjbvvP6s1JvpMcAdniS8lfGSyC1geee67hH+hIfwNfxrYCbwO5CV6zD2wz38ADgCbIx+rEj3m7t7nE5ZdS8CrXDr5fTbCU03bgb8CVyV6zD2wz9OBVwhXwGwGLk70mM9yf38B7AeaCP/HdTNwK3Bru+/xQ5Gvx1+74udal/6LiPQS5/KUi4iInAEFuohIL6FAFxHpJRToIiK9hAJdRKSXUKCLiPQSCnQRkV7i/wO/SejK6KJWrwAAAABJRU5ErkJggg==\n", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "entropy score: 0.9990168711925703\n", "Confusion Matrix\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "classification Report\n", " precision recall f1-score support\n", "\n", " 0 1.00 1.00 1.00 56863\n", " 1 0.75 0.64 0.69 98\n", "\n", " accuracy 1.00 56961\n", " macro avg 0.87 0.82 0.85 56961\n", "weighted avg 1.00 1.00 1.00 56961\n", "\n", "entropy tree_roc_value: 0.8212439170839185\n", "Tree threshold: 1.0\n", "ROC for the test dataset 82.1%\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Time Taken by Model: --- 35.29627323150635 seconds ---\n", "------------------------------------------------------------\n", "Random Forest Model\n" ] } ], "source": [ "#Run Logistic Regression with L1 And L2 Regularisation\n", "print(\"Logistic Regression with L1 And L2 Regularisation\")\n", "start_time = time.time()\n", "df_Results = buildAndRunLogisticModels(df_Results,\"StratifiedKFold Cross Validation\", X_train_SKF_cv,y_train_SKF_cv, X_test_SKF_cv, y_test_SKF_cv)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))\n", "print('-'*60 )\n", "\n", "#Run KNN Model\n", "print(\"KNN Model\")\n", "start_time = time.time()\n", "df_Results = buildAndRunKNNModels(df_Results,\"StratifiedKFold Cross Validation\",X_train_SKF_cv,y_train_SKF_cv, X_test_SKF_cv, y_test_SKF_cv)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))\n", "print('-'*60 )\n", "\n", "#Run Decision Tree Models with 'gini' & 'entropy' criteria\n", "print(\"Decision Tree Models with 'gini' & 'entropy' criteria\")\n", "start_time = time.time()\n", "df_Results = buildAndRunTreeModels(df_Results,\"StratifiedKFold Cross Validation\",X_train_SKF_cv,y_train_SKF_cv, X_test_SKF_cv, y_test_SKF_cv)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))\n", "print('-'*60 )\n", "\n", "#Run Random Forest Model\n", "print(\"Random Forest Model\")\n", "start_time = time.time()\n", "df_Results = buildAndRunRandomForestModels(df_Results,\"StratifiedKFold Cross Validation\",X_train_SKF_cv,y_train_SKF_cv, X_test_SKF_cv, y_test_SKF_cv)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))\n", "print('-'*60 )\n", "\n", "#Run XGBoost Modela\n", "print(\"XGBoost Model\")\n", "start_time = time.time()\n", "df_Results = buildAndRunXGBoostModels(df_Results,\"StratifiedKFold Cross Validation\",X_train_SKF_cv,y_train_SKF_cv, X_test_SKF_cv, y_test_SKF_cv)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))\n", "print('-'*60 )\n", "\n", "#Run SVM Model with Sigmoid Kernel\n", "print(\"SVM Model with Sigmoid Kernel\")\n", "start_time = time.time()\n", "df_Results = buildAndRunSVMModels(df_Results,\"StratifiedKFold Cross Validation\",X_train_SKF_cv,y_train_SKF_cv, X_test_SKF_cv, y_test_SKF_cv)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "background_save": true }, "id": "at3mW9T2h5mH" }, "outputs": [], "source": [ "# Checking the df_result dataframe which contains consolidated results of all the runs\n", "df_Results" ] }, { "cell_type": "markdown", "metadata": { "id": "u_L5bGshb7gk" }, "source": [ "### Results for cross validation with StratifiedKFold:\n", "Looking at the ROC value we have Logistic Regression with L2 Regularisation has provided best results for cross validation with StratifiedKFold technique" ] }, { "cell_type": "markdown", "metadata": { "id": "xo0y_Dh79oxB" }, "source": [ "## Conclusion : \n", "- As the results show Logistic Regression with L2 Regularisation for StratifiedKFold cross validation provided best results" ] }, { "cell_type": "markdown", "metadata": { "id": "hLxHCcsiiDhl" }, "source": [ "\n", "\n", "#### Proceed with the model which shows the best result \n", "- Apply the best hyperparameter on the model\n", "- Predict on the test dataset" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "background_save": true }, "id": "TdLTY0D-PTXL" }, "outputs": [], "source": [ "# Logistic Regression\n", "from sklearn import linear_model #import the package\n", "from sklearn.model_selection import KFold\n", "\n", "num_C = list(np.power(10.0, np.arange(-10, 10)))\n", "cv_num = KFold(n_splits=10, shuffle=True, random_state=42)\n", "\n", "clf = linear_model.LogisticRegressionCV(\n", " Cs= num_C\n", " ,penalty='l2'\n", " ,scoring='roc_auc'\n", " ,cv=cv_num\n", " ,random_state=42\n", " ,max_iter=10000\n", " ,fit_intercept=True\n", " ,solver='newton-cg'\n", " ,tol=10\n", " )\n", "\n", "clf.fit(X_train_SKF_cv, y_train_SKF_cv)\n", "print ('Max auc_roc for l2:', clf.scores_[1].mean(axis=0).max())\n", "\n", "\n", "print(\"Parameters for l2 regularisations\")\n", "print(clf.coef_)\n", "print(clf.intercept_) \n", "print(clf.scores_) \n", "\n", "\n", "#find predicted vallues\n", "y_pred_l2 = clf.predict(X_test)\n", "\n", "\n", "#Find predicted probabilities\n", "y_pred_probs_l2 = clf.predict_proba(X_test)[:,1] \n", "\n", "\n", "# Accuaracy of L2/L1 models\n", "Accuracy_l2 = metrics.accuracy_score(y_pred=y_pred_l2, y_true=y_test)\n", "\n", "\n", "print(\"Accuarcy of Logistic model with l2 regularisation : {0}\".format(Accuracy_l2))\n", "\n", "\n", "from sklearn.metrics import roc_auc_score\n", "l2_roc_value = roc_auc_score(y_test, y_pred_probs_l2)\n", "print(\"l2 roc_value: {0}\" .format(l2_roc_value))\n", "fpr, tpr, thresholds = metrics.roc_curve(y_test, y_pred_probs_l2)\n", "threshold = thresholds[np.argmax(tpr-fpr)]\n", "print(\"l2 threshold: {0}\".format(threshold))" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "background_save": true }, "id": "WIBooaQ_Su0-" }, "outputs": [], "source": [ "# Checking for the coefficient values\n", "clf.coef_" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "background_save": true }, "id": "tLFgnyeRS0BE" }, "outputs": [], "source": [ "# Creating a dataframe with the coefficient values\n", "coefficients = pd.concat([pd.DataFrame(X.columns),pd.DataFrame(np.transpose(clf.coef_))], axis = 1)\n", "coefficients.columns = ['Feature','Importance Coefficient']" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "background_save": true }, "id": "bAKz37EqS33e" }, "outputs": [], "source": [ "coefficients" ] }, { "cell_type": "markdown", "metadata": { "id": "braLjt88Fkxh" }, "source": [ "### Print the important features of the best model to understand the dataset\n", "- This will not give much explanation on the already transformed dataset\n", "- But it will help us in understanding if the dataset is not PCA transformed" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "background_save": true }, "id": "GGBFvm_8S4GA" }, "outputs": [], "source": [ "# Plotting the coefficient values\n", "plt.figure(figsize=(20,5))\n", "sns.barplot(x='Feature', y='Importance Coefficient', data=coefficients)\n", "plt.title(\"Logistic Regression with L2 Regularisation Feature Importance\", fontsize=18)\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "lyXFR3uhTAyv" }, "source": [ "Hence it implies that V4, v5,V11 has + ve importance whereas V10, V12, V14 seems to have -ve impact on the predictaions" ] }, { "cell_type": "markdown", "metadata": { "id": "OmK1GNvUFyZ0" }, "source": [ "# Model building with balancing Classes\n", "\n", "##### Perform class balancing with :\n", "- Random Oversampling\n", "- SMOTE\n", "- ADASYN" ] }, { "cell_type": "markdown", "metadata": { "id": "CqZsNq1oG6xd" }, "source": [ "## Oversampling with RandomOverSampler with StratifiedKFold Cross Validation\n", "\n", "- We will use Random Oversampling method to handle the class imbalance" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "background_save": true }, "id": "P7ViKWurHSJp" }, "outputs": [], "source": [ "# Creating the dataset with RandomOverSampler and StratifiedKFold\n", "from sklearn.model_selection import StratifiedKFold\n", "from imblearn.over_sampling import RandomOverSampler\n", "\n", "skf = StratifiedKFold(n_splits=5, random_state=None)\n", "\n", "for fold, (train_index, test_index) in enumerate(skf.split(X,y), 1):\n", " X_train = X.loc[train_index]\n", " y_train = y.loc[train_index] \n", " X_test = X.loc[test_index]\n", " y_test = y.loc[test_index] \n", " ROS = RandomOverSampler(sampling_strategy=0.5)\n", " X_over, y_over= ROS.fit_resample(X_train, y_train)\n", " \n", "X_over = pd.DataFrame(data=X_over, columns=cols)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "background_save": true }, "id": "TNdUS2EBIgLn" }, "outputs": [], "source": [ "Data_Imbalance_Handiling\t = \"Random Oversampling with StratifiedKFold CV \"\n", "#Run Logistic Regression with L1 And L2 Regularisation\n", "print(\"Logistic Regression with L1 And L2 Regularisation\")\n", "start_time = time.time()\n", "df_Results = buildAndRunLogisticModels(df_Results , Data_Imbalance_Handiling , X_over, y_over, X_test, y_test)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))\n", "print('-'*60 )\n", "\n", "#Run KNN Model\n", "print(\"KNN Model\")\n", "start_time = time.time()\n", "df_Results = buildAndRunKNNModels(df_Results , Data_Imbalance_Handiling,X_over, y_over, X_test, y_test)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))\n", "print('-'*60 )\n", "\n", "#Run Decision Tree Models with 'gini' & 'entropy' criteria\n", "print(\"Decision Tree Models with 'gini' & 'entropy' criteria\")\n", "start_time = time.time()\n", "df_Results = buildAndRunTreeModels(df_Results , Data_Imbalance_Handiling,X_over, y_over, X_test, y_test)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))\n", "print('-'*60 )\n", "\n", "#Run Random Forest Model\n", "print(\"Random Forest Model\")\n", "start_time = time.time()\n", "df_Results = buildAndRunRandomForestModels(df_Results , Data_Imbalance_Handiling,X_over, y_over, X_test, y_test)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))\n", "print('-'*60 )\n", "\n", "#Run XGBoost Model\n", "print(\"XGBoost Model\")\n", "start_time = time.time()\n", "df_Results = buildAndRunXGBoostModels(df_Results , Data_Imbalance_Handiling,X_over, y_over, X_test, y_test)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))\n", "print('-'*60 )" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "background_save": true }, "id": "6_fhHd9NIxn9" }, "outputs": [], "source": [ "# Checking the df_result dataframe which contains consolidated results of all the runs\n", "df_Results" ] }, { "cell_type": "markdown", "metadata": { "id": "5yVCgZX2LUJq" }, "source": [ "### Results for Random Oversampling with StratifiedKFold technique:\n", "Looking at the Accuracy and ROC value we have XGBoost which has provided best results for Random Oversampling and StratifiedKFold technique" ] }, { "cell_type": "markdown", "metadata": { "id": "Q8BLCNqILa0e" }, "source": [ "## Oversampling with SMOTE Oversampling\n", "- We will use SMOTE Oversampling method to handle the class imbalance" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "background_save": true }, "id": "eNxKbvOLSk5c" }, "outputs": [], "source": [ "# Creating dataframe with Smote and StratifiedKFold\n", "from sklearn.model_selection import StratifiedKFold\n", "from imblearn import over_sampling\n", "\n", "skf = StratifiedKFold(n_splits=5, random_state=None)\n", "\n", "for fold, (train_index, test_index) in enumerate(skf.split(X,y), 1):\n", " X_train = X.loc[train_index]\n", " y_train = y.loc[train_index] \n", " X_test = X.loc[test_index]\n", " y_test = y.loc[test_index] \n", " SMOTE = over_sampling.SMOTE(random_state=0)\n", " X_train_Smote, y_train_Smote= SMOTE.fit_resample(X_train, y_train)\n", " \n", "X_train_Smote = pd.DataFrame(data=X_train_Smote, columns=cols)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "background_save": true }, "id": "yt0A3h01Sofx" }, "outputs": [], "source": [ "Data_Imbalance_Handiling\t = \"SMOTE Oversampling with StratifiedKFold CV \"\n", "#Run Logistic Regression with L1 And L2 Regularisation\n", "print(\"Logistic Regression with L1 And L2 Regularisation\")\n", "start_time = time.time()\n", "df_Results = buildAndRunLogisticModels(df_Results, Data_Imbalance_Handiling, X_train_Smote, y_train_Smote , X_test, y_test)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))\n", "print('-'*80 )\n", "\n", "#Run KNN Model\n", "print(\"KNN Model\")\n", "start_time = time.time()\n", "df_Results = buildAndRunKNNModels(df_Results, Data_Imbalance_Handiling, X_train_Smote, y_train_Smote , X_test, y_test)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))\n", "print('-'*80 )\n", "\n", "#Run Decision Tree Models with 'gini' & 'entropy' criteria\n", "print(\"Decision Tree Models with 'gini' & 'entropy' criteria\")\n", "start_time = time.time()\n", "df_Results = buildAndRunTreeModels(df_Results, Data_Imbalance_Handiling, X_train_Smote, y_train_Smote , X_test, y_test)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))\n", "print('-'*80 )\n", "\n", "#Run Random Forest Model\n", "print(\"Random Forest Model\")\n", "start_time = time.time()\n", "df_Results = buildAndRunRandomForestModels(df_Results, Data_Imbalance_Handiling, X_train_Smote, y_train_Smote , X_test, y_test)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))\n", "print('-'*80 )\n", "\n", "#Run XGBoost Model\n", "print(\"XGBoost Model\")\n", "start_time = time.time()\n", "df_Results = buildAndRunXGBoostModels(df_Results, Data_Imbalance_Handiling, X_train_Smote, y_train_Smote , X_test, y_test)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))\n", "print('-'*80 )" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "background_save": true }, "id": "RwPIr3P4S1Rl" }, "outputs": [], "source": [ "# Checking the df_result dataframe which contains consolidated results of all the runs\n", "df_Results" ] }, { "cell_type": "markdown", "metadata": { "id": "sGwN2mUBS4YB" }, "source": [ "### Results for SMOTE Oversampling with StratifiedKFold:\n", "Looking at Accuracy and ROC value we have XGBoost which has provided best results for SMOTE Oversampling with StratifiedKFold technique " ] }, { "cell_type": "markdown", "metadata": { "id": "4bKD2P8mzydG" }, "source": [ "## Oversampling with ADASYN Oversampling\n", "- We will use ADASYN Oversampling method to handle the class imbalance" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "background_save": true }, "id": "ZWTb9-Qj1RoJ" }, "outputs": [], "source": [ "# Creating dataframe with ADASYN and StratifiedKFold\n", "from sklearn.model_selection import StratifiedKFold\n", "from imblearn import over_sampling\n", "\n", "skf = StratifiedKFold(n_splits=5, random_state=None)\n", "\n", "for fold, (train_index, test_index) in enumerate(skf.split(X,y), 1):\n", " X_train = X.loc[train_index]\n", " y_train = y.loc[train_index] \n", " X_test = X.loc[test_index]\n", " y_test = y.loc[test_index] \n", " ADASYN = over_sampling.ADASYN(random_state=0)\n", " X_train_ADASYN, y_train_ADASYN= ADASYN.fit_resample(X_train, y_train)\n", " \n", "X_train_ADASYN = pd.DataFrame(data=X_train_ADASYN, columns=cols)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "background_save": true }, "id": "y1iRxN151aKY" }, "outputs": [], "source": [ "Data_Imbalance_Handiling\t = \"ADASYN Oversampling with StratifiedKFold CV \"\n", "#Run Logistic Regression with L1 And L2 Regularisation\n", "print(\"Logistic Regression with L1 And L2 Regularisation\")\n", "start_time = time.time()\n", "df_Results = buildAndRunLogisticModels(df_Results, Data_Imbalance_Handiling, X_train_ADASYN, y_train_ADASYN , X_test, y_test)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))\n", "print('-'*80 )\n", "\n", "#Run KNN Model\n", "print(\"KNN Model\")\n", "start_time = time.time()\n", "df_Results = buildAndRunKNNModels(df_Results, Data_Imbalance_Handiling,X_train_ADASYN, y_train_ADASYN , X_test, y_test)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))\n", "print('-'*80 )\n", "\n", "#Run Decision Tree Models with 'gini' & 'entropy' criteria\n", "print(\"Decision Tree Models with 'gini' & 'entropy' criteria\")\n", "start_time = time.time()\n", "df_Results = buildAndRunTreeModels(df_Results, Data_Imbalance_Handiling,X_train_ADASYN, y_train_ADASYN , X_test, y_test)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))\n", "print('-'*80 )\n", "\n", "#Run Random Forest Model\n", "print(\"Random Forest Model\")\n", "start_time = time.time()\n", "df_Results = buildAndRunRandomForestModels(df_Results, Data_Imbalance_Handiling,X_train_ADASYN, y_train_ADASYN , X_test, y_test)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))\n", "print('-'*80 )\n", "\n", "#Run XGBoost Model\n", "print(\"XGBoost Model\")\n", "start_time = time.time()\n", "df_Results = buildAndRunXGBoostModels(df_Results, Data_Imbalance_Handiling,X_train_ADASYN, y_train_ADASYN , X_test, y_test)\n", "print(\"Time Taken by Model: --- %s seconds ---\" % (time.time() - start_time))\n", "print('-'*80 )" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "oswswcQo1hah" }, "outputs": [], "source": [ "# Checking the df_result dataframe which contains consolidated results of all the runs\n", "df_Results" ] }, { "cell_type": "markdown", "metadata": { "id": "2a5eQ39c1kgc" }, "source": [ "## Results for ADASYN Oversampling with StratifiedKFold: \n", "Looking at Accuracy and ROC value we have XGBoost which has provided best results for ADASYN Oversampling with StratifiedKFold technique " ] }, { "cell_type": "markdown", "metadata": { "id": "uhJzfnQc1lf9" }, "source": [ "## Overall conclusion after running the models on Oversampled data :\n", "Looking at above results it seems XGBOOST model with Random Oversampling with StratifiedKFold CV has provided the best results under the category of all oversampling techniques. So we will try to tune the hyperparameters of this model to get best results." ] }, { "cell_type": "markdown", "metadata": { "id": "gfPE13wnUr0o" }, "source": [ "## Hyperparameter Tuning" ] }, { "cell_type": "markdown", "metadata": { "id": "0NaJq_w5vmU6" }, "source": [ "## HPT - Xgboost Regression" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "MgbAUv7AfwHh" }, "outputs": [], "source": [ "# Performing Hyperparameter tuning\n", "from xgboost.sklearn import XGBClassifier\n", "from sklearn.model_selection import GridSearchCV,RandomizedSearchCV\n", "param_test = {\n", " 'max_depth':range(3,10,2),\n", " 'min_child_weight':range(1,6,2),\n", " 'n_estimators':range(60,130,150),\n", " 'learning_rate':[0.05,0.1,0.125,0.15,0.2],\n", " 'gamma':[i/10.0 for i in range(0,5)],\n", " 'subsample':[i/10.0 for i in range(7,10)],\n", " 'colsample_bytree':[i/10.0 for i in range(7,10)]\n", "}\n", "\n", "gsearch1 = RandomizedSearchCV(estimator = XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n", " colsample_bynode=1,max_delta_step=0,\n", " missing=None, n_jobs=-1,\n", " nthread=None, objective='binary:logistic', random_state=42,\n", " reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None,\n", " silent=None, verbosity=1), \n", " param_distributions = param_test, n_iter=5,scoring='roc_auc',n_jobs=-1, cv=5)\n", "\n", "gsearch1.fit(X_over, y_over)\n", "gsearch1.cv_results_, gsearch1.best_params_, gsearch1.best_score_" ] }, { "cell_type": "markdown", "metadata": { "id": "NJl7TvZCUr0p" }, "source": [ "Please note that the hyperparameters found above using RandomizedSearchCV and the hyperparameters used below in creating the final model might be different, the reason being, I have executed the RandomizedSearchCV multiple times to find which set of hyperparameters gives the optimum result and finally used the one below which gave me the best performance." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "mbMcMZBD39Dr" }, "outputs": [], "source": [ "# Creating XGBoost model with selected hyperparameters\n", "from xgboost import XGBClassifier\n", "\n", "clf = XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n", " colsample_bynode=1, colsample_bytree=0.7, gamma=0.2,\n", " learning_rate=0.125, max_delta_step=0, max_depth=7,\n", " min_child_weight=5, missing=None, n_estimators=60, n_jobs=1,\n", " nthread=None, objective='binary:logistic', random_state=42,\n", " reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None,\n", " silent=None, subsample=0.8, verbosity=1)\n", "\n", "# fit on the dataset\n", "clf.fit(X_over, y_over ) \n", "XGB_test_score = clf.score(X_test, y_test)\n", "print('Model Accuracy: {0}'.format(XGB_test_score))\n", "\n", "# Probabilities for each class\n", "XGB_probs = clf.predict_proba(X_test)[:, 1]\n", "\n", "# Calculate roc auc\n", "XGB_roc_value = roc_auc_score(y_test, XGB_probs)\n", "\n", "print(\"XGboost roc_value: {0}\" .format(XGB_roc_value))\n", "fpr, tpr, thresholds = metrics.roc_curve(y_test, XGB_probs)\n", "threshold = thresholds[np.argmax(tpr-fpr)]\n", "print(\"XGBoost threshold: {0}\".format(threshold))" ] }, { "cell_type": "markdown", "metadata": { "id": "07pnmjNv4QVb" }, "source": [ "### Print the important features of the best model to understand the dataset" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "ApaK-kDb4StZ" }, "outputs": [], "source": [ "imp_var = []\n", "for i in clf.feature_importances_:\n", " imp_var.append(i)\n", "print('Top var =', imp_var.index(np.sort(clf.feature_importances_)[-1])+1)\n", "print('2nd Top var =', imp_var.index(np.sort(clf.feature_importances_)[-2])+1)\n", "print('3rd Top var =', imp_var.index(np.sort(clf.feature_importances_)[-3])+1)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "FqQvZdjX4Z9d" }, "outputs": [], "source": [ "# Calculate roc auc\n", "XGB_roc_value = roc_auc_score(y_test, XGB_probs)\n", "\n", "print(\"XGboost roc_value: {0}\" .format(XGB_roc_value))\n", "fpr, tpr, thresholds = metrics.roc_curve(y_test, XGB_probs)\n", "threshold = thresholds[np.argmax(tpr-fpr)]\n", "print(\"XGBoost threshold: {0}\".format(threshold))" ] }, { "cell_type": "markdown", "metadata": { "id": "ZzTpEnfuUr0p" }, "source": [ "## Conclusion\n", "\n", "In the oversample cases, of all the models we build found that the XGBOOST model with Random Oversampling with StratifiedKFold CV gave us the best accuracy and ROC on oversampled data. Post that we performed hyperparameter tuning and got the below metrices : \n", "\n", "XGboost roc_value: 0.9815403079438694\n", "XGBoost threshold: 0.01721232570707798\n", "\n", "However, of all the models we created we found Logistic Regression with L2 Regularisation for StratifiedKFold cross validation (without any oversampling or undersampling) gave us the best result." ] } ], "metadata": { "colab": { "collapsed_sections": [], "name": "Credit_Card_Fraud_Detection.ipynb", "provenance": [] }, "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.12" } }, "nbformat": 4, "nbformat_minor": 0 }