main.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 108,
      "metadata": {
        "id": "En7B2DPtFeyC"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.metrics import accuracy_score\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "from sklearn.ensemble import BaggingClassifier\n",
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn import tree\n",
        "from sklearn.svm import SVC\n",
        "from sklearn.linear_model import LinearRegression\n",
        "from sklearn.model_selection import GridSearchCV"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 75,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 347
        },
        "id": "0mSHEcnsS098",
        "outputId": "53a03e51-e5c3-4254-e161-edac046554c5"
      },
      "outputs": [
        {
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Time</th>\n",
              "      <th>V1</th>\n",
              "      <th>V2</th>\n",
              "      <th>V3</th>\n",
              "      <th>V4</th>\n",
              "      <th>V5</th>\n",
              "      <th>V6</th>\n",
              "      <th>V7</th>\n",
              "      <th>V8</th>\n",
              "      <th>V9</th>\n",
              "      <th>...</th>\n",
              "      <th>V21</th>\n",
              "      <th>V22</th>\n",
              "      <th>V23</th>\n",
              "      <th>V24</th>\n",
              "      <th>V25</th>\n",
              "      <th>V26</th>\n",
              "      <th>V27</th>\n",
              "      <th>V28</th>\n",
              "      <th>Amount</th>\n",
              "      <th>Class</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.0</td>\n",
              "      <td>-1.359807</td>\n",
              "      <td>-0.072781</td>\n",
              "      <td>2.536347</td>\n",
              "      <td>1.378155</td>\n",
              "      <td>-0.338321</td>\n",
              "      <td>0.462388</td>\n",
              "      <td>0.239599</td>\n",
              "      <td>0.098698</td>\n",
              "      <td>0.363787</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.018307</td>\n",
              "      <td>0.277838</td>\n",
              "      <td>-0.110474</td>\n",
              "      <td>0.066928</td>\n",
              "      <td>0.128539</td>\n",
              "      <td>-0.189115</td>\n",
              "      <td>0.133558</td>\n",
              "      <td>-0.021053</td>\n",
              "      <td>149.62</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.0</td>\n",
              "      <td>1.191857</td>\n",
              "      <td>0.266151</td>\n",
              "      <td>0.166480</td>\n",
              "      <td>0.448154</td>\n",
              "      <td>0.060018</td>\n",
              "      <td>-0.082361</td>\n",
              "      <td>-0.078803</td>\n",
              "      <td>0.085102</td>\n",
              "      <td>-0.255425</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.225775</td>\n",
              "      <td>-0.638672</td>\n",
              "      <td>0.101288</td>\n",
              "      <td>-0.339846</td>\n",
              "      <td>0.167170</td>\n",
              "      <td>0.125895</td>\n",
              "      <td>-0.008983</td>\n",
              "      <td>0.014724</td>\n",
              "      <td>2.69</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1.0</td>\n",
              "      <td>-1.358354</td>\n",
              "      <td>-1.340163</td>\n",
              "      <td>1.773209</td>\n",
              "      <td>0.379780</td>\n",
              "      <td>-0.503198</td>\n",
              "      <td>1.800499</td>\n",
              "      <td>0.791461</td>\n",
              "      <td>0.247676</td>\n",
              "      <td>-1.514654</td>\n",
              "      <td>...</td>\n",
              "      <td>0.247998</td>\n",
              "      <td>0.771679</td>\n",
              "      <td>0.909412</td>\n",
              "      <td>-0.689281</td>\n",
              "      <td>-0.327642</td>\n",
              "      <td>-0.139097</td>\n",
              "      <td>-0.055353</td>\n",
              "      <td>-0.059752</td>\n",
              "      <td>378.66</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1.0</td>\n",
              "      <td>-0.966272</td>\n",
              "      <td>-0.185226</td>\n",
              "      <td>1.792993</td>\n",
              "      <td>-0.863291</td>\n",
              "      <td>-0.010309</td>\n",
              "      <td>1.247203</td>\n",
              "      <td>0.237609</td>\n",
              "      <td>0.377436</td>\n",
              "      <td>-1.387024</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.108300</td>\n",
              "      <td>0.005274</td>\n",
              "      <td>-0.190321</td>\n",
              "      <td>-1.175575</td>\n",
              "      <td>0.647376</td>\n",
              "      <td>-0.221929</td>\n",
              "      <td>0.062723</td>\n",
              "      <td>0.061458</td>\n",
              "      <td>123.50</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2.0</td>\n",
              "      <td>-1.158233</td>\n",
              "      <td>0.877737</td>\n",
              "      <td>1.548718</td>\n",
              "      <td>0.403034</td>\n",
              "      <td>-0.407193</td>\n",
              "      <td>0.095921</td>\n",
              "      <td>0.592941</td>\n",
              "      <td>-0.270533</td>\n",
              "      <td>0.817739</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.009431</td>\n",
              "      <td>0.798278</td>\n",
              "      <td>-0.137458</td>\n",
              "      <td>0.141267</td>\n",
              "      <td>-0.206010</td>\n",
              "      <td>0.502292</td>\n",
              "      <td>0.219422</td>\n",
              "      <td>0.215153</td>\n",
              "      <td>69.99</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 31 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "   Time        V1        V2        V3        V4        V5        V6        V7  \\\n",
              "0   0.0 -1.359807 -0.072781  2.536347  1.378155 -0.338321  0.462388  0.239599   \n",
              "1   0.0  1.191857  0.266151  0.166480  0.448154  0.060018 -0.082361 -0.078803   \n",
              "2   1.0 -1.358354 -1.340163  1.773209  0.379780 -0.503198  1.800499  0.791461   \n",
              "3   1.0 -0.966272 -0.185226  1.792993 -0.863291 -0.010309  1.247203  0.237609   \n",
              "4   2.0 -1.158233  0.877737  1.548718  0.403034 -0.407193  0.095921  0.592941   \n",
              "\n",
              "         V8        V9  ...       V21       V22       V23       V24       V25  \\\n",
              "0  0.098698  0.363787  ... -0.018307  0.277838 -0.110474  0.066928  0.128539   \n",
              "1  0.085102 -0.255425  ... -0.225775 -0.638672  0.101288 -0.339846  0.167170   \n",
              "2  0.247676 -1.514654  ...  0.247998  0.771679  0.909412 -0.689281 -0.327642   \n",
              "3  0.377436 -1.387024  ... -0.108300  0.005274 -0.190321 -1.175575  0.647376   \n",
              "4 -0.270533  0.817739  ... -0.009431  0.798278 -0.137458  0.141267 -0.206010   \n",
              "\n",
              "        V26       V27       V28  Amount  Class  \n",
              "0 -0.189115  0.133558 -0.021053  149.62      0  \n",
              "1  0.125895 -0.008983  0.014724    2.69      0  \n",
              "2 -0.139097 -0.055353 -0.059752  378.66      0  \n",
              "3 -0.221929  0.062723  0.061458  123.50      0  \n",
              "4  0.502292  0.219422  0.215153   69.99      0  \n",
              "\n",
              "[5 rows x 31 columns]"
            ]
          },
          "execution_count": 75,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "cc_data = pd.read_csv('creditcard.csv', on_bad_lines='skip')\n",
        "cc_data.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 76,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        },
        "id": "G4rkCxehVWUN",
        "outputId": "9d74efd1-dfe4-4ea4-a720-f6a298c10ff7"
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      "outputs": [
        {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Time</th>\n",
              "      <th>V1</th>\n",
              "      <th>V2</th>\n",
              "      <th>V3</th>\n",
              "      <th>V4</th>\n",
              "      <th>V5</th>\n",
              "      <th>V6</th>\n",
              "      <th>V7</th>\n",
              "      <th>V8</th>\n",
              "      <th>V9</th>\n",
              "      <th>...</th>\n",
              "      <th>V21</th>\n",
              "      <th>V22</th>\n",
              "      <th>V23</th>\n",
              "      <th>V24</th>\n",
              "      <th>V25</th>\n",
              "      <th>V26</th>\n",
              "      <th>V27</th>\n",
              "      <th>V28</th>\n",
              "      <th>Amount</th>\n",
              "      <th>Class</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>284802</th>\n",
              "      <td>172786.0</td>\n",
              "      <td>-11.881118</td>\n",
              "      <td>10.071785</td>\n",
              "      <td>-9.834783</td>\n",
              "      <td>-2.066656</td>\n",
              "      <td>-5.364473</td>\n",
              "      <td>-2.606837</td>\n",
              "      <td>-4.918215</td>\n",
              "      <td>7.305334</td>\n",
              "      <td>1.914428</td>\n",
              "      <td>...</td>\n",
              "      <td>0.213454</td>\n",
              "      <td>0.111864</td>\n",
              "      <td>1.014480</td>\n",
              "      <td>-0.509348</td>\n",
              "      <td>1.436807</td>\n",
              "      <td>0.250034</td>\n",
              "      <td>0.943651</td>\n",
              "      <td>0.823731</td>\n",
              "      <td>0.77</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>284803</th>\n",
              "      <td>172787.0</td>\n",
              "      <td>-0.732789</td>\n",
              "      <td>-0.055080</td>\n",
              "      <td>2.035030</td>\n",
              "      <td>-0.738589</td>\n",
              "      <td>0.868229</td>\n",
              "      <td>1.058415</td>\n",
              "      <td>0.024330</td>\n",
              "      <td>0.294869</td>\n",
              "      <td>0.584800</td>\n",
              "      <td>...</td>\n",
              "      <td>0.214205</td>\n",
              "      <td>0.924384</td>\n",
              "      <td>0.012463</td>\n",
              "      <td>-1.016226</td>\n",
              "      <td>-0.606624</td>\n",
              "      <td>-0.395255</td>\n",
              "      <td>0.068472</td>\n",
              "      <td>-0.053527</td>\n",
              "      <td>24.79</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>284804</th>\n",
              "      <td>172788.0</td>\n",
              "      <td>1.919565</td>\n",
              "      <td>-0.301254</td>\n",
              "      <td>-3.249640</td>\n",
              "      <td>-0.557828</td>\n",
              "      <td>2.630515</td>\n",
              "      <td>3.031260</td>\n",
              "      <td>-0.296827</td>\n",
              "      <td>0.708417</td>\n",
              "      <td>0.432454</td>\n",
              "      <td>...</td>\n",
              "      <td>0.232045</td>\n",
              "      <td>0.578229</td>\n",
              "      <td>-0.037501</td>\n",
              "      <td>0.640134</td>\n",
              "      <td>0.265745</td>\n",
              "      <td>-0.087371</td>\n",
              "      <td>0.004455</td>\n",
              "      <td>-0.026561</td>\n",
              "      <td>67.88</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>284805</th>\n",
              "      <td>172788.0</td>\n",
              "      <td>-0.240440</td>\n",
              "      <td>0.530483</td>\n",
              "      <td>0.702510</td>\n",
              "      <td>0.689799</td>\n",
              "      <td>-0.377961</td>\n",
              "      <td>0.623708</td>\n",
              "      <td>-0.686180</td>\n",
              "      <td>0.679145</td>\n",
              "      <td>0.392087</td>\n",
              "      <td>...</td>\n",
              "      <td>0.265245</td>\n",
              "      <td>0.800049</td>\n",
              "      <td>-0.163298</td>\n",
              "      <td>0.123205</td>\n",
              "      <td>-0.569159</td>\n",
              "      <td>0.546668</td>\n",
              "      <td>0.108821</td>\n",
              "      <td>0.104533</td>\n",
              "      <td>10.00</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>284806</th>\n",
              "      <td>172792.0</td>\n",
              "      <td>-0.533413</td>\n",
              "      <td>-0.189733</td>\n",
              "      <td>0.703337</td>\n",
              "      <td>-0.506271</td>\n",
              "      <td>-0.012546</td>\n",
              "      <td>-0.649617</td>\n",
              "      <td>1.577006</td>\n",
              "      <td>-0.414650</td>\n",
              "      <td>0.486180</td>\n",
              "      <td>...</td>\n",
              "      <td>0.261057</td>\n",
              "      <td>0.643078</td>\n",
              "      <td>0.376777</td>\n",
              "      <td>0.008797</td>\n",
              "      <td>-0.473649</td>\n",
              "      <td>-0.818267</td>\n",
              "      <td>-0.002415</td>\n",
              "      <td>0.013649</td>\n",
              "      <td>217.00</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 31 columns</p>\n",
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            ],
            "text/plain": [
              "            Time         V1         V2        V3        V4        V5  \\\n",
              "284802  172786.0 -11.881118  10.071785 -9.834783 -2.066656 -5.364473   \n",
              "284803  172787.0  -0.732789  -0.055080  2.035030 -0.738589  0.868229   \n",
              "284804  172788.0   1.919565  -0.301254 -3.249640 -0.557828  2.630515   \n",
              "284805  172788.0  -0.240440   0.530483  0.702510  0.689799 -0.377961   \n",
              "284806  172792.0  -0.533413  -0.189733  0.703337 -0.506271 -0.012546   \n",
              "\n",
              "              V6        V7        V8        V9  ...       V21       V22  \\\n",
              "284802 -2.606837 -4.918215  7.305334  1.914428  ...  0.213454  0.111864   \n",
              "284803  1.058415  0.024330  0.294869  0.584800  ...  0.214205  0.924384   \n",
              "284804  3.031260 -0.296827  0.708417  0.432454  ...  0.232045  0.578229   \n",
              "284805  0.623708 -0.686180  0.679145  0.392087  ...  0.265245  0.800049   \n",
              "284806 -0.649617  1.577006 -0.414650  0.486180  ...  0.261057  0.643078   \n",
              "\n",
              "             V23       V24       V25       V26       V27       V28  Amount  \\\n",
              "284802  1.014480 -0.509348  1.436807  0.250034  0.943651  0.823731    0.77   \n",
              "284803  0.012463 -1.016226 -0.606624 -0.395255  0.068472 -0.053527   24.79   \n",
              "284804 -0.037501  0.640134  0.265745 -0.087371  0.004455 -0.026561   67.88   \n",
              "284805 -0.163298  0.123205 -0.569159  0.546668  0.108821  0.104533   10.00   \n",
              "284806  0.376777  0.008797 -0.473649 -0.818267 -0.002415  0.013649  217.00   \n",
              "\n",
              "        Class  \n",
              "284802      0  \n",
              "284803      0  \n",
              "284804      0  \n",
              "284805      0  \n",
              "284806      0  \n",
              "\n",
              "[5 rows x 31 columns]"
            ]
          },
          "execution_count": 76,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "cc_data.tail()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 77,
      "metadata": {
        "colab": {
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        },
        "id": "FmcQ0c19V1Z7",
        "outputId": "9e4076bb-9f10-4675-ecc9-f80daa3b64a7"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 284807 entries, 0 to 284806\n",
            "Data columns (total 31 columns):\n",
            " #   Column  Non-Null Count   Dtype  \n",
            "---  ------  --------------   -----  \n",
            " 0   Time    284807 non-null  float64\n",
            " 1   V1      284807 non-null  float64\n",
            " 2   V2      284807 non-null  float64\n",
            " 3   V3      284807 non-null  float64\n",
            " 4   V4      284807 non-null  float64\n",
            " 5   V5      284807 non-null  float64\n",
            " 6   V6      284807 non-null  float64\n",
            " 7   V7      284807 non-null  float64\n",
            " 8   V8      284807 non-null  float64\n",
            " 9   V9      284807 non-null  float64\n",
            " 10  V10     284807 non-null  float64\n",
            " 11  V11     284807 non-null  float64\n",
            " 12  V12     284807 non-null  float64\n",
            " 13  V13     284807 non-null  float64\n",
            " 14  V14     284807 non-null  float64\n",
            " 15  V15     284807 non-null  float64\n",
            " 16  V16     284807 non-null  float64\n",
            " 17  V17     284807 non-null  float64\n",
            " 18  V18     284807 non-null  float64\n",
            " 19  V19     284807 non-null  float64\n",
            " 20  V20     284807 non-null  float64\n",
            " 21  V21     284807 non-null  float64\n",
            " 22  V22     284807 non-null  float64\n",
            " 23  V23     284807 non-null  float64\n",
            " 24  V24     284807 non-null  float64\n",
            " 25  V25     284807 non-null  float64\n",
            " 26  V26     284807 non-null  float64\n",
            " 27  V27     284807 non-null  float64\n",
            " 28  V28     284807 non-null  float64\n",
            " 29  Amount  284807 non-null  float64\n",
            " 30  Class   284807 non-null  int64  \n",
            "dtypes: float64(30), int64(1)\n",
            "memory usage: 67.4 MB\n"
          ]
        }
      ],
      "source": [
        "cc_data.info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 78,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iswb3KjqWaA8",
        "outputId": "6ab2b5fc-7930-48ff-d24a-2c33616c79b3"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Time      0\n",
              "V1        0\n",
              "V2        0\n",
              "V3        0\n",
              "V4        0\n",
              "V5        0\n",
              "V6        0\n",
              "V7        0\n",
              "V8        0\n",
              "V9        0\n",
              "V10       0\n",
              "V11       0\n",
              "V12       0\n",
              "V13       0\n",
              "V14       0\n",
              "V15       0\n",
              "V16       0\n",
              "V17       0\n",
              "V18       0\n",
              "V19       0\n",
              "V20       0\n",
              "V21       0\n",
              "V22       0\n",
              "V23       0\n",
              "V24       0\n",
              "V25       0\n",
              "V26       0\n",
              "V27       0\n",
              "V28       0\n",
              "Amount    0\n",
              "Class     0\n",
              "dtype: int64"
            ]
          },
          "execution_count": 78,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "cc_data.isnull().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 79,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xdWV8gpsw9QG",
        "outputId": "bc24376b-d05e-4ab9-b0b8-c646bd30afe7"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0    284315\n",
              "1       492\n",
              "Name: Class, dtype: int64"
            ]
          },
          "execution_count": 79,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "cc_data['Class'].value_counts()"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "NeXHU9RC1ntY"
      },
      "source": [
        "This data set is highly unbalanced. 0 = normal transaction, 1 = fraudulent transaction"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 80,
      "metadata": {
        "id": "Awa9VUcZzr4x"
      },
      "outputs": [],
      "source": [
        "legit = cc_data[cc_data.Class == 0]\n",
        "fraud = cc_data[cc_data.Class == 1]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 81,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MqXihu2xeL9r",
        "outputId": "42a6890d-96ff-4fb8-aad4-9bd87de8c695"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "(284315, 31)\n",
            "(492, 31)\n"
          ]
        }
      ],
      "source": [
        "#eturns the number of rows x columns for each type of transaction\n",
        "print(legit.shape)\n",
        "print(fraud.shape)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 82,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hz9bckb3eW40",
        "outputId": "6db30a17-7335-4522-cb00-9c8ba879306e"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "count    284315.000000\n",
              "mean         88.291022\n",
              "std         250.105092\n",
              "min           0.000000\n",
              "25%           5.650000\n",
              "50%          22.000000\n",
              "75%          77.050000\n",
              "max       25691.160000\n",
              "Name: Amount, dtype: float64"
            ]
          },
          "execution_count": 82,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#stats for legit and fraud data\n",
        "legit.Amount.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 83,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "42qVkWL0hTk6",
        "outputId": "5f0fa182-05ec-431e-b44f-4af4a49e5d86"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "count     492.000000\n",
              "mean      122.211321\n",
              "std       256.683288\n",
              "min         0.000000\n",
              "25%         1.000000\n",
              "50%         9.250000\n",
              "75%       105.890000\n",
              "max      2125.870000\n",
              "Name: Amount, dtype: float64"
            ]
          },
          "execution_count": 83,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "fraud.Amount.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 84,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 236
        },
        "id": "tatukyaOhWuv",
        "outputId": "dc2eb65f-b951-41f2-d848-7c5ba011914f"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
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              "    }\n",
              "\n",
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              "    }\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Time</th>\n",
              "      <th>V1</th>\n",
              "      <th>V2</th>\n",
              "      <th>V3</th>\n",
              "      <th>V4</th>\n",
              "      <th>V5</th>\n",
              "      <th>V6</th>\n",
              "      <th>V7</th>\n",
              "      <th>V8</th>\n",
              "      <th>V9</th>\n",
              "      <th>...</th>\n",
              "      <th>V20</th>\n",
              "      <th>V21</th>\n",
              "      <th>V22</th>\n",
              "      <th>V23</th>\n",
              "      <th>V24</th>\n",
              "      <th>V25</th>\n",
              "      <th>V26</th>\n",
              "      <th>V27</th>\n",
              "      <th>V28</th>\n",
              "      <th>Amount</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Class</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>94838.202258</td>\n",
              "      <td>0.008258</td>\n",
              "      <td>-0.006271</td>\n",
              "      <td>0.012171</td>\n",
              "      <td>-0.007860</td>\n",
              "      <td>0.005453</td>\n",
              "      <td>0.002419</td>\n",
              "      <td>0.009637</td>\n",
              "      <td>-0.000987</td>\n",
              "      <td>0.004467</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.000644</td>\n",
              "      <td>-0.001235</td>\n",
              "      <td>-0.000024</td>\n",
              "      <td>0.000070</td>\n",
              "      <td>0.000182</td>\n",
              "      <td>-0.000072</td>\n",
              "      <td>-0.000089</td>\n",
              "      <td>-0.000295</td>\n",
              "      <td>-0.000131</td>\n",
              "      <td>88.291022</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>80746.806911</td>\n",
              "      <td>-4.771948</td>\n",
              "      <td>3.623778</td>\n",
              "      <td>-7.033281</td>\n",
              "      <td>4.542029</td>\n",
              "      <td>-3.151225</td>\n",
              "      <td>-1.397737</td>\n",
              "      <td>-5.568731</td>\n",
              "      <td>0.570636</td>\n",
              "      <td>-2.581123</td>\n",
              "      <td>...</td>\n",
              "      <td>0.372319</td>\n",
              "      <td>0.713588</td>\n",
              "      <td>0.014049</td>\n",
              "      <td>-0.040308</td>\n",
              "      <td>-0.105130</td>\n",
              "      <td>0.041449</td>\n",
              "      <td>0.051648</td>\n",
              "      <td>0.170575</td>\n",
              "      <td>0.075667</td>\n",
              "      <td>122.211321</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2 rows × 30 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "               Time        V1        V2        V3        V4        V5  \\\n",
              "Class                                                                   \n",
              "0      94838.202258  0.008258 -0.006271  0.012171 -0.007860  0.005453   \n",
              "1      80746.806911 -4.771948  3.623778 -7.033281  4.542029 -3.151225   \n",
              "\n",
              "             V6        V7        V8        V9  ...       V20       V21  \\\n",
              "Class                                          ...                       \n",
              "0      0.002419  0.009637 -0.000987  0.004467  ... -0.000644 -0.001235   \n",
              "1     -1.397737 -5.568731  0.570636 -2.581123  ...  0.372319  0.713588   \n",
              "\n",
              "            V22       V23       V24       V25       V26       V27       V28  \\\n",
              "Class                                                                         \n",
              "0     -0.000024  0.000070  0.000182 -0.000072 -0.000089 -0.000295 -0.000131   \n",
              "1      0.014049 -0.040308 -0.105130  0.041449  0.051648  0.170575  0.075667   \n",
              "\n",
              "           Amount  \n",
              "Class              \n",
              "0       88.291022  \n",
              "1      122.211321  \n",
              "\n",
              "[2 rows x 30 columns]"
            ]
          },
          "execution_count": 84,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#compare the mean values of each column for both types of transaction\n",
        "cc_data.groupby('Class').mean()"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "EpHNYGDnjQsN"
      },
      "source": [
        "Undersampling\n",
        "\n",
        "Build a sample dataset containing a similar distribution of normal transactions and fradulent transactions\n",
        "\n",
        "Number of fradulent transactions = 492"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 85,
      "metadata": {
        "id": "clPuyokmjde-"
      },
      "outputs": [],
      "source": [
        "legit_sample = legit.sample(n = 492)"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "lqwk9pxtkYaP"
      },
      "source": [
        "Concatenating two DataFrames"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 86,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        },
        "id": "mz2GnDqFkV_f",
        "outputId": "956e4515-6c0f-4caa-d49a-d753c1273462"
      },
      "outputs": [
        {
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Time</th>\n",
              "      <th>V1</th>\n",
              "      <th>V2</th>\n",
              "      <th>V3</th>\n",
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              "      <th>V26</th>\n",
              "      <th>V27</th>\n",
              "      <th>V28</th>\n",
              "      <th>Amount</th>\n",
              "      <th>Class</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>150879</th>\n",
              "      <td>94084.0</td>\n",
              "      <td>1.998736</td>\n",
              "      <td>-0.144896</td>\n",
              "      <td>-1.095328</td>\n",
              "      <td>0.439776</td>\n",
              "      <td>0.081702</td>\n",
              "      <td>-0.571646</td>\n",
              "      <td>-0.075486</td>\n",
              "      <td>-0.167295</td>\n",
              "      <td>1.741375</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.404923</td>\n",
              "      <td>-0.908469</td>\n",
              "      <td>0.296959</td>\n",
              "      <td>-0.508715</td>\n",
              "      <td>-0.361343</td>\n",
              "      <td>0.168200</td>\n",
              "      <td>-0.109049</td>\n",
              "      <td>-0.079347</td>\n",
              "      <td>21.99</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>268348</th>\n",
              "      <td>163165.0</td>\n",
              "      <td>-0.939885</td>\n",
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              "      <td>-0.092011</td>\n",
              "      <td>-0.934201</td>\n",
              "      <td>2.095827</td>\n",
              "      <td>-2.197974</td>\n",
              "      <td>0.865350</td>\n",
              "      <td>-0.407908</td>\n",
              "      <td>0.259665</td>\n",
              "      <td>...</td>\n",
              "      <td>0.376375</td>\n",
              "      <td>0.923706</td>\n",
              "      <td>-0.041054</td>\n",
              "      <td>-0.123037</td>\n",
              "      <td>-0.307884</td>\n",
              "      <td>-0.457227</td>\n",
              "      <td>-0.023664</td>\n",
              "      <td>0.034316</td>\n",
              "      <td>30.35</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>221986</th>\n",
              "      <td>142775.0</td>\n",
              "      <td>-1.840511</td>\n",
              "      <td>2.586538</td>\n",
              "      <td>-2.286259</td>\n",
              "      <td>-0.690353</td>\n",
              "      <td>-0.086907</td>\n",
              "      <td>-0.582899</td>\n",
              "      <td>-0.391695</td>\n",
              "      <td>1.524216</td>\n",
              "      <td>-0.301380</td>\n",
              "      <td>...</td>\n",
              "      <td>0.420072</td>\n",
              "      <td>1.187955</td>\n",
              "      <td>0.057895</td>\n",
              "      <td>0.086828</td>\n",
              "      <td>-0.393244</td>\n",
              "      <td>-0.188776</td>\n",
              "      <td>0.329641</td>\n",
              "      <td>0.257470</td>\n",
              "      <td>0.89</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>66615</th>\n",
              "      <td>52130.0</td>\n",
              "      <td>1.430159</td>\n",
              "      <td>-0.292198</td>\n",
              "      <td>-0.209789</td>\n",
              "      <td>-0.717642</td>\n",
              "      <td>-0.431114</td>\n",
              "      <td>-0.933897</td>\n",
              "      <td>-0.121114</td>\n",
              "      <td>-0.269201</td>\n",
              "      <td>-1.157903</td>\n",
              "      <td>...</td>\n",
              "      <td>0.210480</td>\n",
              "      <td>0.606606</td>\n",
              "      <td>-0.123484</td>\n",
              "      <td>0.129366</td>\n",
              "      <td>0.725675</td>\n",
              "      <td>-0.054393</td>\n",
              "      <td>-0.009894</td>\n",
              "      <td>-0.003548</td>\n",
              "      <td>1.00</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>193068</th>\n",
              "      <td>129980.0</td>\n",
              "      <td>-17.757957</td>\n",
              "      <td>-15.723097</td>\n",
              "      <td>-5.376572</td>\n",
              "      <td>3.204126</td>\n",
              "      <td>2.442171</td>\n",
              "      <td>0.591799</td>\n",
              "      <td>4.961271</td>\n",
              "      <td>-2.752332</td>\n",
              "      <td>2.716996</td>\n",
              "      <td>...</td>\n",
              "      <td>-4.560138</td>\n",
              "      <td>1.466543</td>\n",
              "      <td>2.679776</td>\n",
              "      <td>-0.386171</td>\n",
              "      <td>2.802561</td>\n",
              "      <td>1.042632</td>\n",
              "      <td>-3.777425</td>\n",
              "      <td>9.454526</td>\n",
              "      <td>523.20</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 31 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "            Time         V1         V2        V3        V4        V5  \\\n",
              "150879   94084.0   1.998736  -0.144896 -1.095328  0.439776  0.081702   \n",
              "268348  163165.0  -0.939885  -0.260231 -0.092011 -0.934201  2.095827   \n",
              "221986  142775.0  -1.840511   2.586538 -2.286259 -0.690353 -0.086907   \n",
              "66615    52130.0   1.430159  -0.292198 -0.209789 -0.717642 -0.431114   \n",
              "193068  129980.0 -17.757957 -15.723097 -5.376572  3.204126  2.442171   \n",
              "\n",
              "              V6        V7        V8        V9  ...       V21       V22  \\\n",
              "150879 -0.571646 -0.075486 -0.167295  1.741375  ... -0.404923 -0.908469   \n",
              "268348 -2.197974  0.865350 -0.407908  0.259665  ...  0.376375  0.923706   \n",
              "221986 -0.582899 -0.391695  1.524216 -0.301380  ...  0.420072  1.187955   \n",
              "66615  -0.933897 -0.121114 -0.269201 -1.157903  ...  0.210480  0.606606   \n",
              "193068  0.591799  4.961271 -2.752332  2.716996  ... -4.560138  1.466543   \n",
              "\n",
              "             V23       V24       V25       V26       V27       V28  Amount  \\\n",
              "150879  0.296959 -0.508715 -0.361343  0.168200 -0.109049 -0.079347   21.99   \n",
              "268348 -0.041054 -0.123037 -0.307884 -0.457227 -0.023664  0.034316   30.35   \n",
              "221986  0.057895  0.086828 -0.393244 -0.188776  0.329641  0.257470    0.89   \n",
              "66615  -0.123484  0.129366  0.725675 -0.054393 -0.009894 -0.003548    1.00   \n",
              "193068  2.679776 -0.386171  2.802561  1.042632 -3.777425  9.454526  523.20   \n",
              "\n",
              "        Class  \n",
              "150879      0  \n",
              "268348      0  \n",
              "221986      0  \n",
              "66615       0  \n",
              "193068      0  \n",
              "\n",
              "[5 rows x 31 columns]"
            ]
          },
          "execution_count": 86,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df = pd.concat([legit_sample, fraud], axis = 0)\n",
        "df.head()"
      ]
    },
    {
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              "281674  0.223050 -0.068384  0.577829  ... -0.164350 -0.295135 -0.072173   \n",
              "\n",
              "             V24       V25       V26       V27       V28  Amount  Class  \n",
              "279863 -0.294885  0.537503  0.788395  0.292680  0.147968  390.00      1  \n",
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              "\n",
              "[5 rows x 31 columns]"
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          },
          "execution_count": 87,
          "metadata": {},
          "output_type": "execute_result"
        }
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      "source": [
        "df.tail()\n"
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    },
    {
      "cell_type": "code",
      "execution_count": 88,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
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        "id": "m5gq67n8nGj-",
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              "0    492\n",
              "1    492\n",
              "Name: Class, dtype: int64"
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          },
          "execution_count": 88,
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      "execution_count": 89,
      "metadata": {
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              "      <td>0.012171</td>\n",
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              "      <td>-0.105130</td>\n",
              "      <td>0.041449</td>\n",
              "      <td>0.051648</td>\n",
              "      <td>0.170575</td>\n",
              "      <td>0.075667</td>\n",
              "      <td>122.211321</td>\n",
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              "<p>2 rows × 30 columns</p>\n",
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            ],
            "text/plain": [
              "               Time        V1        V2        V3        V4        V5  \\\n",
              "Class                                                                   \n",
              "0      94838.202258  0.008258 -0.006271  0.012171 -0.007860  0.005453   \n",
              "1      80746.806911 -4.771948  3.623778 -7.033281  4.542029 -3.151225   \n",
              "\n",
              "             V6        V7        V8        V9  ...       V20       V21  \\\n",
              "Class                                          ...                       \n",
              "0      0.002419  0.009637 -0.000987  0.004467  ... -0.000644 -0.001235   \n",
              "1     -1.397737 -5.568731  0.570636 -2.581123  ...  0.372319  0.713588   \n",
              "\n",
              "            V22       V23       V24       V25       V26       V27       V28  \\\n",
              "Class                                                                         \n",
              "0     -0.000024  0.000070  0.000182 -0.000072 -0.000089 -0.000295 -0.000131   \n",
              "1      0.014049 -0.040308 -0.105130  0.041449  0.051648  0.170575  0.075667   \n",
              "\n",
              "           Amount  \n",
              "Class              \n",
              "0       88.291022  \n",
              "1      122.211321  \n",
              "\n",
              "[2 rows x 30 columns]"
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          "execution_count": 89,
          "metadata": {},
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      "source": [
        "cc_data.groupby('Class').mean()"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "3cSDSeHw9deb"
      },
      "source": [
        "Splitting the data into features and targets"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 90,
      "metadata": {
        "colab": {
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        "id": "dXgtvhXC8hmO",
        "outputId": "d090ff25-9be0-4648-ac27-5093faf33310"
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            "            Time         V1         V2        V3        V4        V5  \\\n",
            "150879   94084.0   1.998736  -0.144896 -1.095328  0.439776  0.081702   \n",
            "268348  163165.0  -0.939885  -0.260231 -0.092011 -0.934201  2.095827   \n",
            "221986  142775.0  -1.840511   2.586538 -2.286259 -0.690353 -0.086907   \n",
            "66615    52130.0   1.430159  -0.292198 -0.209789 -0.717642 -0.431114   \n",
            "193068  129980.0 -17.757957 -15.723097 -5.376572  3.204126  2.442171   \n",
            "...          ...        ...        ...       ...       ...       ...   \n",
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            "281674  170348.0   1.991976   0.158476 -2.583441  0.408670  1.151147   \n",
            "\n",
            "              V6        V7        V8        V9  ...        V20       V21  \\\n",
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            "268348 -2.197974  0.865350 -0.407908  0.259665  ...   0.064412  0.376375   \n",
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            "66615  -0.933897 -0.121114 -0.269201 -1.157903  ...   0.008916  0.210480   \n",
            "193068  0.591799  4.961271 -2.752332  2.716996  ... -12.485427 -4.560138   \n",
            "...          ...       ...       ...       ...  ...        ...       ...   \n",
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            "280149 -0.003346 -2.234739  1.210158 -0.652250  ...   0.247968  0.751826   \n",
            "281144 -2.943548 -2.208002  1.058733 -1.632333  ...   0.306271  0.583276   \n",
            "281674 -0.096695  0.223050 -0.068384  0.577829  ...  -0.017652 -0.164350   \n",
            "\n",
            "             V22       V23       V24       V25       V26       V27       V28  \\\n",
            "150879 -0.908469  0.296959 -0.508715 -0.361343  0.168200 -0.109049 -0.079347   \n",
            "268348  0.923706 -0.041054 -0.123037 -0.307884 -0.457227 -0.023664  0.034316   \n",
            "221986  1.187955  0.057895  0.086828 -0.393244 -0.188776  0.329641  0.257470   \n",
            "66615   0.606606 -0.123484  0.129366  0.725675 -0.054393 -0.009894 -0.003548   \n",
            "193068  1.466543  2.679776 -0.386171  2.802561  1.042632 -3.777425  9.454526   \n",
            "...          ...       ...       ...       ...       ...       ...       ...   \n",
            "279863 -0.319189  0.639419 -0.294885  0.537503  0.788395  0.292680  0.147968   \n",
            "280143  0.028234 -0.145640 -0.081049  0.521875  0.739467  0.389152  0.186637   \n",
            "280149  0.834108  0.190944  0.032070 -0.739695  0.471111  0.385107  0.194361   \n",
            "281144 -0.269209 -0.456108 -0.183659 -0.328168  0.606116  0.884876 -0.253700   \n",
            "281674 -0.295135 -0.072173 -0.450261  0.313267 -0.289617  0.002988 -0.015309   \n",
            "\n",
            "        Amount  \n",
            "150879   21.99  \n",
            "268348   30.35  \n",
            "221986    0.89  \n",
            "66615     1.00  \n",
            "193068  523.20  \n",
            "...        ...  \n",
            "279863  390.00  \n",
            "280143    0.76  \n",
            "280149   77.89  \n",
            "281144  245.00  \n",
            "281674   42.53  \n",
            "\n",
            "[984 rows x 30 columns]\n"
          ]
        }
      ],
      "source": [
        "X = df.drop(columns = 'Class', axis = 1) #will be used for features \n",
        "Y = df['Class'] #will be used for labels\n",
        "print(X)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Heatmap of dataset\n",
        "\n",
        "As can be seen from the heatmap, it would appear that variable V14 has the strongest correlation with the class variable aside from the class variable itself. "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 91,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "ax = sns.heatmap(df.corr())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 92,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dTncQH5O-JbP",
        "outputId": "78ee4a65-a218-469c-be72-07445aa3b8ca"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "150879    0\n",
            "268348    0\n",
            "221986    0\n",
            "66615     0\n",
            "193068    0\n",
            "         ..\n",
            "279863    1\n",
            "280143    1\n",
            "280149    1\n",
            "281144    1\n",
            "281674    1\n",
            "Name: Class, Length: 984, dtype: int64\n"
          ]
        }
      ],
      "source": [
        "print(Y)"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "bpqf7YA1-f7C"
      },
      "source": [
        "Split the data into training and testing data\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 93,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aEX7VY1f-XqN",
        "outputId": "25e2e3f2-21db-417d-f216-b2400e0dc9ae"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "(984, 30) (787, 30) (197, 30)\n"
          ]
        }
      ],
      "source": [
        "#20% of data will be used as testing data, the other 80% as training data\n",
        "xtr, xts, ytr, yts = train_test_split(X, Y, test_size = 0.2, stratify = Y, random_state = 2)\n",
        "print(X.shape, xtr.shape, xts.shape)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Linear Regression Classifier"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 94,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Accuracy of training set: 0.9034307496823379\n",
            "Accuracy of test set: 0.8984771573604061\n"
          ]
        }
      ],
      "source": [
        "li = LinearRegression()\n",
        "li.fit(xtr, ytr)\n",
        "train = li.predict(xtr).round()\n",
        "acc_score = accuracy_score(train, ytr)\n",
        "print(\"Accuracy of training set:\", acc_score)\n",
        "test = li.predict(xts).round()\n",
        "acc_score = accuracy_score(test, yts)\n",
        "print(\"Accuracy of test set:\", acc_score)"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "XMFKL-OnECQ4"
      },
      "source": [
        "Logistic Regression Classifier"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 95,
      "metadata": {
        "id": "8IyHOj0CELHX"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Accuracy of training set: 0.940279542566709\n",
            "Accuracy of test set: 0.9238578680203046\n"
          ]
        }
      ],
      "source": [
        "lr = LogisticRegression(max_iter=10000)\n",
        "lr.fit(xtr, ytr)\n",
        "train = (lr.predict_proba(xtr)[:, 1] > 0.3).astype(int) \n",
        "acc_score = accuracy_score(train, ytr)\n",
        "print(\"Accuracy of training set:\", acc_score)\n",
        "test = (lr.predict_proba(xts)[:, 1] > 0.3).astype(int) \n",
        "acc_score = accuracy_score(test, yts)\n",
        "print(\"Accuracy of test set:\", acc_score)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "K Nearest Neighbors Classifier"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 96,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Accuracy of training set: 1.0\n",
            "Accuracy of test set: 0.649746192893401\n"
          ]
        }
      ],
      "source": [
        "knn = KNeighborsClassifier(n_neighbors=1)\n",
        "knn.fit(xtr, ytr)\n",
        "train = knn.predict(xtr)\n",
        "acc_score = accuracy_score(train, ytr)\n",
        "print(\"Accuracy of training set:\", acc_score)\n",
        "test = knn.predict(xts)\n",
        "acc_score = accuracy_score(test, yts)\n",
        "print(\"Accuracy of test set:\", acc_score)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Decision Tree Classifier\n",
        "\n",
        "As can be seen from the tree diagram below, V14 is the first attribute that the tree is split on. This supports the results of the heatmap from earlier. "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 97,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Accuracy of training set: 1.0\n",
            "Accuracy of test set: 0.883248730964467\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2500x2000 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "dt = DecisionTreeClassifier()\n",
        "dt.fit(xtr, ytr)\n",
        "train = dt.predict(xtr)\n",
        "acc_score = accuracy_score(train, ytr)\n",
        "print(\"Accuracy of training set:\", acc_score)\n",
        "test = dt.predict(xts)\n",
        "acc_score = accuracy_score(test, yts)\n",
        "print(\"Accuracy of test set:\", acc_score)\n",
        "fig = plt.figure(figsize=(25,20))\n",
        "_ = tree.plot_tree(dt, feature_names=df.columns, class_names=['0','1'], filled=True)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Bagging Classifier"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 98,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Accuracy of training set: 0.9542566709021602\n",
            "Accuracy of test set: 0.9238578680203046\n"
          ]
        }
      ],
      "source": [
        "dc = DecisionTreeClassifier(max_depth=3, random_state=0, criterion='entropy')\n",
        "nit = 100\n",
        "bc = BaggingClassifier(dc, n_estimators=nit)\n",
        "bc.fit(xtr, ytr)\n",
        "train = bc.predict(xtr)\n",
        "acc_score = accuracy_score(train, ytr)\n",
        "print(\"Accuracy of training set:\", acc_score)\n",
        "test = bc.predict(xts)\n",
        "acc_score = accuracy_score(test, yts)\n",
        "print(\"Accuracy of test set:\", acc_score)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Random Forest Classifier"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 99,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Accuracy of training set: 0.9275730622617535\n",
            "Accuracy of test set: 0.9187817258883249\n"
          ]
        }
      ],
      "source": [
        "rf = RandomForestClassifier(max_depth=2)\n",
        "rf.fit(xtr, ytr)\n",
        "train = rf.predict(xtr)\n",
        "acc_score = accuracy_score(train, ytr)\n",
        "print(\"Accuracy of training set:\", acc_score)\n",
        "test = rf.predict(xts)\n",
        "acc_score = accuracy_score(test, yts)\n",
        "print(\"Accuracy of test set:\", acc_score)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Support Vector Machines"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 110,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Accuracy of training set: 0.9110546378653113\n",
            "Accuracy of test set: 0.9086294416243654\n"
          ]
        }
      ],
      "source": [
        "clf = SVC(kernel='linear')\n",
        "clf.fit(xtr, ytr)\n",
        "train = clf.predict(xtr)\n",
        "acc_score = accuracy_score(train, ytr)\n",
        "print(\"Accuracy of training set:\", acc_score)\n",
        "test = clf.predict(xts)\n",
        "acc_score = accuracy_score(test, yts)\n",
        "print(\"Accuracy of test set:\", acc_score)"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": [],
      "toc_visible": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "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": "3.11.8"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}