ETHEREUM FRAUD DETECTION.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "6cIFc2qlI8wS"
   },
   "source": [
    "# Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "GlT3ZE1jIxlr"
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np \n",
    "import seaborn as sns\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import PowerTransformer\n",
    "from imblearn.over_sampling import SMOTE\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "import xgboost as xgb\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.metrics import confusion_matrix, roc_auc_score, roc_curve, auc, classification_report, plot_confusion_matrix\n",
    "import pickle"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "b5fLuv7FJArV"
   },
   "source": [
    "# Data reading"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 344
    },
    "id": "BapU6LKUJWrO",
    "outputId": "846457d6-86b1-4020-e874-d3ba1354bb34"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(9841, 50)\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Index</th>\n",
       "      <th>Address</th>\n",
       "      <th>FLAG</th>\n",
       "      <th>Avg min between sent tnx</th>\n",
       "      <th>Avg min between received tnx</th>\n",
       "      <th>Time Diff between first and last (Mins)</th>\n",
       "      <th>Sent tnx</th>\n",
       "      <th>Received Tnx</th>\n",
       "      <th>Number of Created Contracts</th>\n",
       "      <th>Unique Received From Addresses</th>\n",
       "      <th>...</th>\n",
       "      <th>ERC20 min val sent</th>\n",
       "      <th>ERC20 max val sent</th>\n",
       "      <th>ERC20 avg val sent</th>\n",
       "      <th>ERC20 min val sent contract</th>\n",
       "      <th>ERC20 max val sent contract</th>\n",
       "      <th>ERC20 avg val sent contract</th>\n",
       "      <th>ERC20 uniq sent token name</th>\n",
       "      <th>ERC20 uniq rec token name</th>\n",
       "      <th>ERC20 most sent token type</th>\n",
       "      <th>ERC20_most_rec_token_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0x00009277775ac7d0d59eaad8fee3d10ac6c805e8</td>\n",
       "      <td>0</td>\n",
       "      <td>844.26</td>\n",
       "      <td>1093.71</td>\n",
       "      <td>704785.63</td>\n",
       "      <td>721</td>\n",
       "      <td>89</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.683100e+07</td>\n",
       "      <td>271779.920000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>Cofoundit</td>\n",
       "      <td>Numeraire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>0x0002b44ddb1476db43c868bd494422ee4c136fed</td>\n",
       "      <td>0</td>\n",
       "      <td>12709.07</td>\n",
       "      <td>2958.44</td>\n",
       "      <td>1218216.73</td>\n",
       "      <td>94</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>2.260809</td>\n",
       "      <td>2.260809e+00</td>\n",
       "      <td>2.260809</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Livepeer Token</td>\n",
       "      <td>Livepeer Token</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>0x0002bda54cb772d040f779e88eb453cac0daa244</td>\n",
       "      <td>0</td>\n",
       "      <td>246194.54</td>\n",
       "      <td>2434.02</td>\n",
       "      <td>516729.30</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>XENON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>0x00038e6ba2fd5c09aedb96697c8d7b8fa6632e5e</td>\n",
       "      <td>0</td>\n",
       "      <td>10219.60</td>\n",
       "      <td>15785.09</td>\n",
       "      <td>397555.90</td>\n",
       "      <td>25</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>9.029231e+03</td>\n",
       "      <td>3804.076893</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>Raiden</td>\n",
       "      <td>XENON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0x00062d1dd1afb6fb02540ddad9cdebfe568e0d89</td>\n",
       "      <td>0</td>\n",
       "      <td>36.61</td>\n",
       "      <td>10707.77</td>\n",
       "      <td>382472.42</td>\n",
       "      <td>4598</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.500000e+04</td>\n",
       "      <td>13726.659220</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>StatusNetwork</td>\n",
       "      <td>EOS</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 50 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Index                                     Address  FLAG   \n",
       "0      1  0x00009277775ac7d0d59eaad8fee3d10ac6c805e8     0  \\\n",
       "1      2  0x0002b44ddb1476db43c868bd494422ee4c136fed     0   \n",
       "2      3  0x0002bda54cb772d040f779e88eb453cac0daa244     0   \n",
       "3      4  0x00038e6ba2fd5c09aedb96697c8d7b8fa6632e5e     0   \n",
       "4      5  0x00062d1dd1afb6fb02540ddad9cdebfe568e0d89     0   \n",
       "\n",
       "   Avg min between sent tnx  Avg min between received tnx   \n",
       "0                    844.26                       1093.71  \\\n",
       "1                  12709.07                       2958.44   \n",
       "2                 246194.54                       2434.02   \n",
       "3                  10219.60                      15785.09   \n",
       "4                     36.61                      10707.77   \n",
       "\n",
       "   Time Diff between first and last (Mins)  Sent tnx  Received Tnx   \n",
       "0                                704785.63       721            89  \\\n",
       "1                               1218216.73        94             8   \n",
       "2                                516729.30         2            10   \n",
       "3                                397555.90        25             9   \n",
       "4                                382472.42      4598            20   \n",
       "\n",
       "   Number of Created Contracts  Unique Received From Addresses  ...   \n",
       "0                            0                              40  ...  \\\n",
       "1                            0                               5  ...   \n",
       "2                            0                              10  ...   \n",
       "3                            0                               7  ...   \n",
       "4                            1                               7  ...   \n",
       "\n",
       "    ERC20 min val sent   ERC20 max val sent   ERC20 avg val sent   \n",
       "0             0.000000         1.683100e+07        271779.920000  \\\n",
       "1             2.260809         2.260809e+00             2.260809   \n",
       "2             0.000000         0.000000e+00             0.000000   \n",
       "3           100.000000         9.029231e+03          3804.076893   \n",
       "4             0.000000         4.500000e+04         13726.659220   \n",
       "\n",
       "    ERC20 min val sent contract   ERC20 max val sent contract   \n",
       "0                           0.0                           0.0  \\\n",
       "1                           0.0                           0.0   \n",
       "2                           0.0                           0.0   \n",
       "3                           0.0                           0.0   \n",
       "4                           0.0                           0.0   \n",
       "\n",
       "    ERC20 avg val sent contract   ERC20 uniq sent token name   \n",
       "0                           0.0                         39.0  \\\n",
       "1                           0.0                          1.0   \n",
       "2                           0.0                          0.0   \n",
       "3                           0.0                          1.0   \n",
       "4                           0.0                          6.0   \n",
       "\n",
       "    ERC20 uniq rec token name   ERC20 most sent token type   \n",
       "0                        57.0                    Cofoundit  \\\n",
       "1                         7.0               Livepeer Token   \n",
       "2                         8.0                          NaN   \n",
       "3                        11.0                       Raiden   \n",
       "4                        27.0                StatusNetwork   \n",
       "\n",
       "    ERC20_most_rec_token_type  \n",
       "0                   Numeraire  \n",
       "1              Livepeer Token  \n",
       "2                       XENON  \n",
       "3                       XENON  \n",
       "4                         EOS  \n",
       "\n",
       "[5 rows x 50 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(r\"C:\\Users\\hp\\Downloads\\transaction_dataset.csv\\transaction_dataset.csv\", index_col=0)\n",
    "print(df.shape)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "id": "SAom_xBKM-Kj"
   },
   "outputs": [],
   "source": [
    "# Ommit first two columns (Index, Adress)\n",
    "df = df.iloc[:,2:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "2CfcJxwlXqE3"
   },
   "source": [
    "# Data information & exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "cQrpeRSPKlf8",
    "outputId": "7d441cbc-2761-44f5-8a79-1050aadf4fcf"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 9841 entries, 0 to 9840\n",
      "Data columns (total 48 columns):\n",
      " #   Column                                                Non-Null Count  Dtype  \n",
      "---  ------                                                --------------  -----  \n",
      " 0   FLAG                                                  9841 non-null   int64  \n",
      " 1   Avg min between sent tnx                              9841 non-null   float64\n",
      " 2   Avg min between received tnx                          9841 non-null   float64\n",
      " 3   Time Diff between first and last (Mins)               9841 non-null   float64\n",
      " 4   Sent tnx                                              9841 non-null   int64  \n",
      " 5   Received Tnx                                          9841 non-null   int64  \n",
      " 6   Number of Created Contracts                           9841 non-null   int64  \n",
      " 7   Unique Received From Addresses                        9841 non-null   int64  \n",
      " 8   Unique Sent To Addresses                              9841 non-null   int64  \n",
      " 9   min value received                                    9841 non-null   float64\n",
      " 10  max value received                                    9841 non-null   float64\n",
      " 11  avg val received                                      9841 non-null   float64\n",
      " 12  min val sent                                          9841 non-null   float64\n",
      " 13  max val sent                                          9841 non-null   float64\n",
      " 14  avg val sent                                          9841 non-null   float64\n",
      " 15  min value sent to contract                            9841 non-null   float64\n",
      " 16  max val sent to contract                              9841 non-null   float64\n",
      " 17  avg value sent to contract                            9841 non-null   float64\n",
      " 18  total transactions (including tnx to create contract  9841 non-null   int64  \n",
      " 19  total Ether sent                                      9841 non-null   float64\n",
      " 20  total ether received                                  9841 non-null   float64\n",
      " 21  total ether sent contracts                            9841 non-null   float64\n",
      " 22  total ether balance                                   9841 non-null   float64\n",
      " 23   Total ERC20 tnxs                                     9012 non-null   float64\n",
      " 24   ERC20 total Ether received                           9012 non-null   float64\n",
      " 25   ERC20 total ether sent                               9012 non-null   float64\n",
      " 26   ERC20 total Ether sent contract                      9012 non-null   float64\n",
      " 27   ERC20 uniq sent addr                                 9012 non-null   float64\n",
      " 28   ERC20 uniq rec addr                                  9012 non-null   float64\n",
      " 29   ERC20 uniq sent addr.1                               9012 non-null   float64\n",
      " 30   ERC20 uniq rec contract addr                         9012 non-null   float64\n",
      " 31   ERC20 avg time between sent tnx                      9012 non-null   float64\n",
      " 32   ERC20 avg time between rec tnx                       9012 non-null   float64\n",
      " 33   ERC20 avg time between rec 2 tnx                     9012 non-null   float64\n",
      " 34   ERC20 avg time between contract tnx                  9012 non-null   float64\n",
      " 35   ERC20 min val rec                                    9012 non-null   float64\n",
      " 36   ERC20 max val rec                                    9012 non-null   float64\n",
      " 37   ERC20 avg val rec                                    9012 non-null   float64\n",
      " 38   ERC20 min val sent                                   9012 non-null   float64\n",
      " 39   ERC20 max val sent                                   9012 non-null   float64\n",
      " 40   ERC20 avg val sent                                   9012 non-null   float64\n",
      " 41   ERC20 min val sent contract                          9012 non-null   float64\n",
      " 42   ERC20 max val sent contract                          9012 non-null   float64\n",
      " 43   ERC20 avg val sent contract                          9012 non-null   float64\n",
      " 44   ERC20 uniq sent token name                           9012 non-null   float64\n",
      " 45   ERC20 uniq rec token name                            9012 non-null   float64\n",
      " 46   ERC20 most sent token type                           7144 non-null   object \n",
      " 47   ERC20_most_rec_token_type                            8970 non-null   object \n",
      "dtypes: float64(39), int64(7), object(2)\n",
      "memory usage: 3.7+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 416
    },
    "id": "goLI8gupJOAy",
    "outputId": "360f71aa-a271-4d43-987d-065c456ac01f"
   },
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ERC20 most sent token type</th>\n",
       "      <th>ERC20_most_rec_token_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Cofoundit</td>\n",
       "      <td>Numeraire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Livepeer Token</td>\n",
       "      <td>Livepeer Token</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>XENON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Raiden</td>\n",
       "      <td>XENON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>StatusNetwork</td>\n",
       "      <td>EOS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9836</th>\n",
       "      <td></td>\n",
       "      <td>GSENetwork</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9837</th>\n",
       "      <td></td>\n",
       "      <td>Blockwell say NOTSAFU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9838</th>\n",
       "      <td></td>\n",
       "      <td>Free BOB Tokens - BobsRepair.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9839</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9840</th>\n",
       "      <td></td>\n",
       "      <td>INS Promo1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9841 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      ERC20 most sent token type         ERC20_most_rec_token_type\n",
       "0                      Cofoundit                         Numeraire\n",
       "1                 Livepeer Token                    Livepeer Token\n",
       "2                            NaN                             XENON\n",
       "3                         Raiden                             XENON\n",
       "4                  StatusNetwork                               EOS\n",
       "...                          ...                               ...\n",
       "9836                                                    GSENetwork\n",
       "9837                                         Blockwell say NOTSAFU\n",
       "9838                              Free BOB Tokens - BobsRepair.com\n",
       "9839                         NaN                               NaN\n",
       "9840                                                    INS Promo1\n",
       "\n",
       "[9841 rows x 2 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Turn object variables into 'category' dtype for more computation efficiency\n",
    "categories = df.select_dtypes('O').columns.astype('category')\n",
    "df[categories]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "IEF0AB4aQiAE",
    "outputId": "64040c17-023b-4755-d6e4-3ea5fc66cd18"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The categorical column -- ERC20 most sent token type-- has --305-- unique values\n",
      "The categorical column -- ERC20_most_rec_token_type-- has --467-- unique values\n"
     ]
    }
   ],
   "source": [
    "for i in df[categories].columns:\n",
    "  print(f'The categorical column --{i}-- has --{len(df[i].value_counts())}-- unique values')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 401
    },
    "id": "1gawaxoZKHnv",
    "outputId": "59b87715-9b3a-423b-ad06-5757d7070014"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FLAG</th>\n",
       "      <th>Avg min between sent tnx</th>\n",
       "      <th>Avg min between received tnx</th>\n",
       "      <th>Time Diff between first and last (Mins)</th>\n",
       "      <th>Sent tnx</th>\n",
       "      <th>Received Tnx</th>\n",
       "      <th>Number of Created Contracts</th>\n",
       "      <th>Unique Received From Addresses</th>\n",
       "      <th>Unique Sent To Addresses</th>\n",
       "      <th>min value received</th>\n",
       "      <th>max value received</th>\n",
       "      <th>avg val received</th>\n",
       "      <th>min val sent</th>\n",
       "      <th>max val sent</th>\n",
       "      <th>avg val sent</th>\n",
       "      <th>min value sent to contract</th>\n",
       "      <th>max val sent to contract</th>\n",
       "      <th>avg value sent to contract</th>\n",
       "      <th>total transactions (including tnx to create contract</th>\n",
       "      <th>total Ether sent</th>\n",
       "      <th>total ether received</th>\n",
       "      <th>total ether sent contracts</th>\n",
       "      <th>total ether balance</th>\n",
       "      <th>Total ERC20 tnxs</th>\n",
       "      <th>ERC20 total Ether received</th>\n",
       "      <th>ERC20 total ether sent</th>\n",
       "      <th>ERC20 total Ether sent contract</th>\n",
       "      <th>ERC20 uniq sent addr</th>\n",
       "      <th>ERC20 uniq rec addr</th>\n",
       "      <th>ERC20 uniq sent addr.1</th>\n",
       "      <th>ERC20 uniq rec contract addr</th>\n",
       "      <th>ERC20 avg time between sent tnx</th>\n",
       "      <th>ERC20 avg time between rec tnx</th>\n",
       "      <th>ERC20 avg time between rec 2 tnx</th>\n",
       "      <th>ERC20 avg time between contract tnx</th>\n",
       "      <th>ERC20 min val rec</th>\n",
       "      <th>ERC20 max val rec</th>\n",
       "      <th>ERC20 avg val rec</th>\n",
       "      <th>ERC20 min val sent</th>\n",
       "      <th>ERC20 max val sent</th>\n",
       "      <th>ERC20 avg val sent</th>\n",
       "      <th>ERC20 min val sent contract</th>\n",
       "      <th>ERC20 max val sent contract</th>\n",
       "      <th>ERC20 avg val sent contract</th>\n",
       "      <th>ERC20 uniq sent token name</th>\n",
       "      <th>ERC20 uniq rec token name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>9841.000000</td>\n",
       "      <td>9841.000000</td>\n",
       "      <td>9841.000000</td>\n",
       "      <td>9.841000e+03</td>\n",
       "      <td>9841.000000</td>\n",
       "      <td>9841.000000</td>\n",
       "      <td>9841.000000</td>\n",
       "      <td>9841.000000</td>\n",
       "      <td>9841.000000</td>\n",
       "      <td>9841.000000</td>\n",
       "      <td>9841.000000</td>\n",
       "      <td>9841.000000</td>\n",
       "      <td>9841.000000</td>\n",
       "      <td>9841.000000</td>\n",
       "      <td>9841.000000</td>\n",
       "      <td>9841.000000</td>\n",
       "      <td>9841.000000</td>\n",
       "      <td>9841.000000</td>\n",
       "      <td>9841.000000</td>\n",
       "      <td>9.841000e+03</td>\n",
       "      <td>9.841000e+03</td>\n",
       "      <td>9841.000000</td>\n",
       "      <td>9.841000e+03</td>\n",
       "      <td>9012.000000</td>\n",
       "      <td>9.012000e+03</td>\n",
       "      <td>9.012000e+03</td>\n",
       "      <td>9012.000000</td>\n",
       "      <td>9012.000000</td>\n",
       "      <td>9012.000000</td>\n",
       "      <td>9012.000000</td>\n",
       "      <td>9012.000000</td>\n",
       "      <td>9012.0</td>\n",
       "      <td>9012.0</td>\n",
       "      <td>9012.0</td>\n",
       "      <td>9012.0</td>\n",
       "      <td>9012.000000</td>\n",
       "      <td>9.012000e+03</td>\n",
       "      <td>9.012000e+03</td>\n",
       "      <td>9.012000e+03</td>\n",
       "      <td>9.012000e+03</td>\n",
       "      <td>9.012000e+03</td>\n",
       "      <td>9012.0</td>\n",
       "      <td>9012.0</td>\n",
       "      <td>9012.0</td>\n",
       "      <td>9012.000000</td>\n",
       "      <td>9012.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.221421</td>\n",
       "      <td>5086.878721</td>\n",
       "      <td>8004.851184</td>\n",
       "      <td>2.183333e+05</td>\n",
       "      <td>115.931714</td>\n",
       "      <td>163.700945</td>\n",
       "      <td>3.729702</td>\n",
       "      <td>30.360939</td>\n",
       "      <td>25.840159</td>\n",
       "      <td>43.845153</td>\n",
       "      <td>523.152481</td>\n",
       "      <td>100.711721</td>\n",
       "      <td>4.800090</td>\n",
       "      <td>314.617297</td>\n",
       "      <td>44.755731</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>283.362362</td>\n",
       "      <td>1.016092e+04</td>\n",
       "      <td>1.163832e+04</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>1.477395e+03</td>\n",
       "      <td>36.255659</td>\n",
       "      <td>1.296207e+08</td>\n",
       "      <td>1.386849e+07</td>\n",
       "      <td>110.939207</td>\n",
       "      <td>5.638038</td>\n",
       "      <td>7.598535</td>\n",
       "      <td>0.003440</td>\n",
       "      <td>4.901909</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>485.614688</td>\n",
       "      <td>1.252524e+08</td>\n",
       "      <td>4.346203e+06</td>\n",
       "      <td>1.174126e+04</td>\n",
       "      <td>1.303594e+07</td>\n",
       "      <td>6.318389e+06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.384931</td>\n",
       "      <td>4.826676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.415224</td>\n",
       "      <td>21486.549974</td>\n",
       "      <td>23081.714801</td>\n",
       "      <td>3.229379e+05</td>\n",
       "      <td>757.226361</td>\n",
       "      <td>940.836550</td>\n",
       "      <td>141.445583</td>\n",
       "      <td>298.621112</td>\n",
       "      <td>263.820410</td>\n",
       "      <td>325.929139</td>\n",
       "      <td>13008.821539</td>\n",
       "      <td>2885.002236</td>\n",
       "      <td>138.609682</td>\n",
       "      <td>6629.212643</td>\n",
       "      <td>239.080215</td>\n",
       "      <td>0.000225</td>\n",
       "      <td>0.000516</td>\n",
       "      <td>0.000323</td>\n",
       "      <td>1352.404013</td>\n",
       "      <td>3.583227e+05</td>\n",
       "      <td>3.642048e+05</td>\n",
       "      <td>0.000516</td>\n",
       "      <td>2.424254e+05</td>\n",
       "      <td>447.528908</td>\n",
       "      <td>1.053858e+10</td>\n",
       "      <td>1.180390e+09</td>\n",
       "      <td>6128.634953</td>\n",
       "      <td>105.252500</td>\n",
       "      <td>81.818470</td>\n",
       "      <td>0.065698</td>\n",
       "      <td>17.246576</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16883.278712</td>\n",
       "      <td>1.053741e+10</td>\n",
       "      <td>2.141192e+08</td>\n",
       "      <td>1.053567e+06</td>\n",
       "      <td>1.179905e+09</td>\n",
       "      <td>5.914764e+08</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.735121</td>\n",
       "      <td>16.678607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.560535e+07</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.169300e+02</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.001000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.426905</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.164577</td>\n",
       "      <td>0.086184</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.262059e-01</td>\n",
       "      <td>2.670424e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.214900e-04</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>17.340000</td>\n",
       "      <td>509.770000</td>\n",
       "      <td>4.663703e+04</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.095856</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>1.729730</td>\n",
       "      <td>0.049126</td>\n",
       "      <td>4.999380</td>\n",
       "      <td>1.606000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>1.248680e+01</td>\n",
       "      <td>3.052963e+01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.722000e-03</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000e-12</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>565.470000</td>\n",
       "      <td>5480.390000</td>\n",
       "      <td>3.040710e+05</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>67.067040</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>0.998800</td>\n",
       "      <td>61.520653</td>\n",
       "      <td>21.999380</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>54.000000</td>\n",
       "      <td>1.009990e+02</td>\n",
       "      <td>1.010000e+02</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.452000e-02</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.003370e+02</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.001523</td>\n",
       "      <td>9.900000e+01</td>\n",
       "      <td>2.946467e+01</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>430287.670000</td>\n",
       "      <td>482175.490000</td>\n",
       "      <td>1.954861e+06</td>\n",
       "      <td>10000.000000</td>\n",
       "      <td>10000.000000</td>\n",
       "      <td>9995.000000</td>\n",
       "      <td>9999.000000</td>\n",
       "      <td>9287.000000</td>\n",
       "      <td>10000.000000</td>\n",
       "      <td>800000.000000</td>\n",
       "      <td>283618.831600</td>\n",
       "      <td>12000.000000</td>\n",
       "      <td>520000.000000</td>\n",
       "      <td>12000.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.046029</td>\n",
       "      <td>0.023014</td>\n",
       "      <td>19995.000000</td>\n",
       "      <td>2.858096e+07</td>\n",
       "      <td>2.858159e+07</td>\n",
       "      <td>0.046029</td>\n",
       "      <td>1.428864e+07</td>\n",
       "      <td>10001.000000</td>\n",
       "      <td>1.000020e+12</td>\n",
       "      <td>1.120000e+11</td>\n",
       "      <td>416000.000000</td>\n",
       "      <td>6582.000000</td>\n",
       "      <td>4293.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>782.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>990000.000000</td>\n",
       "      <td>1.000000e+12</td>\n",
       "      <td>1.724181e+10</td>\n",
       "      <td>1.000000e+08</td>\n",
       "      <td>1.120000e+11</td>\n",
       "      <td>5.614756e+10</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>213.000000</td>\n",
       "      <td>737.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              FLAG  ...   ERC20 uniq rec token name\n",
       "count  9841.000000  ...                 9012.000000\n",
       "mean      0.221421  ...                    4.826676\n",
       "std       0.415224  ...                   16.678607\n",
       "min       0.000000  ...                    0.000000\n",
       "25%       0.000000  ...                    0.000000\n",
       "50%       0.000000  ...                    1.000000\n",
       "75%       0.000000  ...                    2.000000\n",
       "max       1.000000  ...                  737.000000\n",
       "\n",
       "[8 rows x 46 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numericals = df.select_dtypes(include=['float','int']).columns\n",
    "df[numericals].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "qVfNzGV1XfjR",
    "outputId": "4277aa29-9fa4-4448-b3b1-6e01a2fd7721"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "FLAG                                                    1.724110e-01\n",
       "Avg min between sent tnx                                4.616718e+08\n",
       "Avg min between received tnx                            5.327656e+08\n",
       "Time Diff between first and last (Mins)                 1.042889e+11\n",
       "Sent tnx                                                5.733918e+05\n",
       "Received Tnx                                            8.851734e+05\n",
       "Number of Created Contracts                             2.000685e+04\n",
       "Unique Received From Addresses                          8.917457e+04\n",
       "Unique Sent To Addresses                                6.960121e+04\n",
       "min value received                                      1.062298e+05\n",
       "max value received                                      1.692294e+08\n",
       "avg val received                                        8.323238e+06\n",
       "min val sent                                            1.921264e+04\n",
       "max val sent                                            4.394646e+07\n",
       "avg val sent                                            5.715935e+04\n",
       "min value sent to contract                              5.080371e-08\n",
       "max val sent to contract                                2.660652e-07\n",
       "avg value sent to contract                              1.046096e-07\n",
       "total transactions (including tnx to create contract    1.828997e+06\n",
       "total Ether sent                                        1.283952e+11\n",
       "total ether received                                    1.326451e+11\n",
       "total ether sent contracts                              2.660625e-07\n",
       "total ether balance                                     5.877009e+10\n",
       " Total ERC20 tnxs                                       2.002821e+05\n",
       " ERC20 total Ether received                             1.110618e+20\n",
       " ERC20 total ether sent                                 1.393321e+18\n",
       " ERC20 total Ether sent contract                        3.756017e+07\n",
       " ERC20 uniq sent addr                                   1.107809e+04\n",
       " ERC20 uniq rec addr                                    6.694262e+03\n",
       " ERC20 uniq sent addr.1                                 4.316210e-03\n",
       " ERC20 uniq rec contract addr                           2.974444e+02\n",
       " ERC20 avg time between sent tnx                        0.000000e+00\n",
       " ERC20 avg time between rec tnx                         0.000000e+00\n",
       " ERC20 avg time between rec 2 tnx                       0.000000e+00\n",
       " ERC20 avg time between contract tnx                    0.000000e+00\n",
       " ERC20 min val rec                                      2.850451e+08\n",
       " ERC20 max val rec                                      1.110370e+20\n",
       " ERC20 avg val rec                                      4.584705e+16\n",
       " ERC20 min val sent                                     1.110004e+12\n",
       " ERC20 max val sent                                     1.392176e+18\n",
       " ERC20 avg val sent                                     3.498443e+17\n",
       " ERC20 min val sent contract                            0.000000e+00\n",
       " ERC20 max val sent contract                            0.000000e+00\n",
       " ERC20 avg val sent contract                            0.000000e+00\n",
       " ERC20 uniq sent token name                             4.536185e+01\n",
       " ERC20 uniq rec token name                              2.781759e+02\n",
       "dtype: float64"
      ]
     },
     "execution_count": 8,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[numericals].var()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 642
    },
    "id": "t5XsMBsybky0",
    "outputId": "f4131bf2-b189-4dee-9034-b9d504b6236a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    7662\n",
      "1    2179\n",
      "Name: FLAG, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(df['FLAG'].value_counts())\n",
    "\n",
    "pie, ax = plt.subplots(figsize=[15,10])\n",
    "labels = ['Non-fraud', 'Fraud']\n",
    "colors = ['#f9ae35', '#f64e38']\n",
    "plt.pie(x = df['FLAG'].value_counts(), autopct='%.2f%%', explode=[0.02]*2, labels=labels, pctdistance=0.5, textprops={'fontsize': 14}, colors = colors)\n",
    "plt.title('Target distribution')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 838
    },
    "id": "n4RnLBKagUfK",
    "outputId": "f951350c-310e-4551-e5d8-881494e72460"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Correlation matrix\n",
    "corr = df.corr()\n",
    "\n",
    "mask = np.zeros_like(corr)\n",
    "mask[np.triu_indices_from(mask)]=True\n",
    "with sns.axes_style('white'):\n",
    "  fig, ax = plt.subplots(figsize=(18,10))\n",
    "  sns.heatmap(corr,  mask=mask, annot=False, cmap='CMRmap', center=0, square=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Rm89FnklR0yR"
   },
   "source": [
    "# Data cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 620
    },
    "id": "Y6Qi27oPLgrr",
    "outputId": "150a7907-9e70-4c5c-d969-0f8ea826850b"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize missings pattern of the dataframe\n",
    "plt.figure(figsize=(12,6))\n",
    "sns.heatmap(df.isnull(), cbar=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "id": "sJKSXmT2TfWd"
   },
   "outputs": [],
   "source": [
    "# Drop the two categorical features\n",
    "df.drop(df[categories], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "id": "fdYAzbscMERe"
   },
   "outputs": [],
   "source": [
    "# Replace missings of numerical variables with median\n",
    "df.fillna(df.median(), inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 637
    },
    "id": "DFnfy_IASNj4",
    "outputId": "04490312-f681-4249-d3e4-a3cfd880aefe"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(9841, 46)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize missings pattern of the dataframe\n",
    "print(df.shape)\n",
    "plt.figure(figsize=(12,6))\n",
    "sns.heatmap(df.isnull(), cbar=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "SV5HrXerUojy"
   },
   "source": [
    "Investigating the variance of the features, it was observed that there are some features with a variance = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "3BYbTu-uU2f3",
    "outputId": "1c1b0346-c2ae-4a28-9d65-93bda28f5aff"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ERC20 avg time between sent tnx        0.0\n",
      " ERC20 avg time between rec tnx         0.0\n",
      " ERC20 avg time between rec 2 tnx       0.0\n",
      " ERC20 avg time between contract tnx    0.0\n",
      " ERC20 min val sent contract            0.0\n",
      " ERC20 max val sent contract            0.0\n",
      " ERC20 avg val sent contract            0.0\n",
      "dtype: float64\n",
      "\n",
      "\n",
      "FLAG                                                    1.724110e-01\n",
      "Avg min between sent tnx                                4.616718e+08\n",
      "Avg min between received tnx                            5.327656e+08\n",
      "Time Diff between first and last (Mins)                 1.042889e+11\n",
      "Sent tnx                                                5.733918e+05\n",
      "Received Tnx                                            8.851734e+05\n",
      "Number of Created Contracts                             2.000685e+04\n",
      "Unique Received From Addresses                          8.917457e+04\n",
      "Unique Sent To Addresses                                6.960121e+04\n",
      "min value received                                      1.062298e+05\n",
      "max value received                                      1.692294e+08\n",
      "avg val received                                        8.323238e+06\n",
      "min val sent                                            1.921264e+04\n",
      "max val sent                                            4.394646e+07\n",
      "avg val sent                                            5.715935e+04\n",
      "min value sent to contract                              5.080371e-08\n",
      "max val sent to contract                                2.660652e-07\n",
      "avg value sent to contract                              1.046096e-07\n",
      "total transactions (including tnx to create contract    1.828997e+06\n",
      "total Ether sent                                        1.283952e+11\n",
      "total ether received                                    1.326451e+11\n",
      "total ether sent contracts                              2.660625e-07\n",
      "total ether balance                                     5.877009e+10\n",
      " Total ERC20 tnxs                                       1.835047e+05\n",
      " ERC20 total Ether received                             1.017063e+20\n",
      " ERC20 total ether sent                                 1.275951e+18\n",
      " ERC20 total Ether sent contract                        3.439675e+07\n",
      " ERC20 uniq sent addr                                   1.014723e+04\n",
      " ERC20 uniq rec addr                                    6.133643e+03\n",
      " ERC20 uniq sent addr.1                                 3.953491e-03\n",
      " ERC20 uniq rec contract addr                           2.735599e+02\n",
      " ERC20 min val rec                                      2.610488e+08\n",
      " ERC20 max val rec                                      1.016835e+20\n",
      " ERC20 avg val rec                                      4.198599e+16\n",
      " ERC20 min val sent                                     1.016499e+12\n",
      " ERC20 max val sent                                     1.274901e+18\n",
      " ERC20 avg val sent                                     3.203738e+17\n",
      " ERC20 uniq sent token name                             4.168819e+01\n",
      " ERC20 uniq rec token name                              2.558699e+02\n",
      "dtype: float64\n",
      "(9841, 39)\n"
     ]
    }
   ],
   "source": [
    "# Filtering the features with 0 variance\n",
    "no_var = df.var() == 0\n",
    "print(df.var()[no_var])\n",
    "print('\\n')\n",
    "\n",
    "# Drop features with 0 variance --- these features will not help in the performance of the model\n",
    "df.drop(df.var()[no_var].index, axis = 1, inplace = True)\n",
    "print(df.var())\n",
    "print(df.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "BakdvCAM3I8a",
    "outputId": "9d43386a-b080-4353-e34f-5acf61550912"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 9841 entries, 0 to 9840\n",
      "Data columns (total 39 columns):\n",
      " #   Column                                                Non-Null Count  Dtype  \n",
      "---  ------                                                --------------  -----  \n",
      " 0   FLAG                                                  9841 non-null   int64  \n",
      " 1   Avg min between sent tnx                              9841 non-null   float64\n",
      " 2   Avg min between received tnx                          9841 non-null   float64\n",
      " 3   Time Diff between first and last (Mins)               9841 non-null   float64\n",
      " 4   Sent tnx                                              9841 non-null   int64  \n",
      " 5   Received Tnx                                          9841 non-null   int64  \n",
      " 6   Number of Created Contracts                           9841 non-null   int64  \n",
      " 7   Unique Received From Addresses                        9841 non-null   int64  \n",
      " 8   Unique Sent To Addresses                              9841 non-null   int64  \n",
      " 9   min value received                                    9841 non-null   float64\n",
      " 10  max value received                                    9841 non-null   float64\n",
      " 11  avg val received                                      9841 non-null   float64\n",
      " 12  min val sent                                          9841 non-null   float64\n",
      " 13  max val sent                                          9841 non-null   float64\n",
      " 14  avg val sent                                          9841 non-null   float64\n",
      " 15  min value sent to contract                            9841 non-null   float64\n",
      " 16  max val sent to contract                              9841 non-null   float64\n",
      " 17  avg value sent to contract                            9841 non-null   float64\n",
      " 18  total transactions (including tnx to create contract  9841 non-null   int64  \n",
      " 19  total Ether sent                                      9841 non-null   float64\n",
      " 20  total ether received                                  9841 non-null   float64\n",
      " 21  total ether sent contracts                            9841 non-null   float64\n",
      " 22  total ether balance                                   9841 non-null   float64\n",
      " 23   Total ERC20 tnxs                                     9841 non-null   float64\n",
      " 24   ERC20 total Ether received                           9841 non-null   float64\n",
      " 25   ERC20 total ether sent                               9841 non-null   float64\n",
      " 26   ERC20 total Ether sent contract                      9841 non-null   float64\n",
      " 27   ERC20 uniq sent addr                                 9841 non-null   float64\n",
      " 28   ERC20 uniq rec addr                                  9841 non-null   float64\n",
      " 29   ERC20 uniq sent addr.1                               9841 non-null   float64\n",
      " 30   ERC20 uniq rec contract addr                         9841 non-null   float64\n",
      " 31   ERC20 min val rec                                    9841 non-null   float64\n",
      " 32   ERC20 max val rec                                    9841 non-null   float64\n",
      " 33   ERC20 avg val rec                                    9841 non-null   float64\n",
      " 34   ERC20 min val sent                                   9841 non-null   float64\n",
      " 35   ERC20 max val sent                                   9841 non-null   float64\n",
      " 36   ERC20 avg val sent                                   9841 non-null   float64\n",
      " 37   ERC20 uniq sent token name                           9841 non-null   float64\n",
      " 38   ERC20 uniq rec token name                            9841 non-null   float64\n",
      "dtypes: float64(32), int64(7)\n",
      "memory usage: 3.0 MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 838
    },
    "id": "16nzIVYfhDUg",
    "outputId": "567f90bb-2fae-42a0-8f2c-3d0508b5e62b"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Recheck the Correlation matrix\n",
    "corr = df.corr()\n",
    "\n",
    "mask = np.zeros_like(corr)\n",
    "mask[np.triu_indices_from(mask)]=True\n",
    "with sns.axes_style('white'):\n",
    "  fig, ax = plt.subplots(figsize=(18,10))\n",
    "  sns.heatmap(corr,  mask=mask, annot=False, cmap='CMRmap', center=0, linewidths=0.1, square=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "fooy3_SuhuYr"
   },
   "source": [
    "Drop one of those highly correlated features\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "id": "szdgz7HEh2BD"
   },
   "outputs": [],
   "source": [
    "drop = ['total transactions (including tnx to create contract', 'total ether sent contracts', 'max val sent to contract', ' ERC20 avg val rec',\n",
    "        ' ERC20 avg val rec',' ERC20 max val rec', ' ERC20 min val rec', ' ERC20 uniq rec contract addr', 'max val sent', ' ERC20 avg val sent',\n",
    "        ' ERC20 min val sent', ' ERC20 max val sent', ' Total ERC20 tnxs', 'avg value sent to contract', 'Unique Sent To Addresses',\n",
    "        'Unique Received From Addresses', 'total ether received', ' ERC20 uniq sent token name', 'min value received', 'min val sent', ' ERC20 uniq rec addr' ]\n",
    "df.drop(drop, axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 773
    },
    "id": "WKzb45vknkI-",
    "outputId": "5119f524-9a80-4512-cef8-339c5b448681"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Recheck the Correlation matrix\n",
    "corr = df.corr()\n",
    "\n",
    "mask = np.zeros_like(corr)\n",
    "mask[np.triu_indices_from(mask)]=True\n",
    "with sns.axes_style('white'):\n",
    "  fig, ax = plt.subplots(figsize=(18,10))\n",
    "  sns.heatmap(corr,  mask=mask, annot=False, cmap='CMRmap', center=0, linewidths=0.1, square=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "qkaBWCvBK8_D",
    "outputId": "936c9a6e-2bc5-4021-929c-f7cae231b444"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['FLAG', 'Avg min between sent tnx', 'Avg min between received tnx',\n",
       "       'Time Diff between first and last (Mins)', 'Sent tnx', 'Received Tnx',\n",
       "       'Number of Created Contracts', 'max value received ',\n",
       "       'avg val received', 'avg val sent', 'min value sent to contract',\n",
       "       'total Ether sent', 'total ether balance',\n",
       "       ' ERC20 total Ether received', ' ERC20 total ether sent',\n",
       "       ' ERC20 total Ether sent contract', ' ERC20 uniq sent addr',\n",
       "       ' ERC20 uniq sent addr.1', ' ERC20 uniq rec token name'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 19,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "columns = df.columns\n",
    "columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 893
    },
    "id": "NNgCnTBZKnlN",
    "outputId": "0efaa918-d84c-494d-c4d2-8a847b1052b9"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x1008 with 18 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Investigate the distribution of our features using boxplots\n",
    "b=20\n",
    "\n",
    "fig, axes = plt.subplots(6, 3, figsize=(14, 14), constrained_layout =True)\n",
    "plt.subplots_adjust(wspace = 0.5, hspace=0.8)\n",
    "plt.suptitle(\"Distribution of features\",y=0.95, size=18, weight='bold')\n",
    "\n",
    "ax = sns.boxplot(ax = axes[0,0], data=df, x=columns[1])\n",
    "ax.set_title(f'Distribution of {columns[1]}')\n",
    "\n",
    "ax1 = sns.boxplot(ax = axes[0,1], data=df, x=columns[2])\n",
    "ax1.set_title(f'Distribution of {columns[2]}')\n",
    "\n",
    "ax2 = sns.boxplot(ax = axes[0,2], data=df, x=columns[3])\n",
    "ax2.set_title(f'Distribution of {columns[3]}')\n",
    "\n",
    "ax3 = sns.boxplot(ax = axes[1,0], data=df, x=columns[4])\n",
    "ax3.set_title(f'Distribution of {columns[4]}')\n",
    "\n",
    "ax4 = sns.boxplot(ax = axes[1,1], data=df, x=columns[5])\n",
    "ax4.set_title(f'Distribution of {columns[5]}')\n",
    "\n",
    "ax5 = sns.boxplot(ax = axes[1,2], data=df, x=columns[6])\n",
    "ax5.set_title(f'Distribution of {columns[6]}')\n",
    "\n",
    "ax6 = sns.boxplot(ax = axes[2,0], data=df, x=columns[7])\n",
    "ax6.set_title(f'Distribution of {columns[7]}')\n",
    "\n",
    "ax7 = sns.boxplot(ax = axes[2,1], data=df, x=columns[8])\n",
    "ax7.set_title(f'Distribution of {columns[8]}')\n",
    "\n",
    "ax8 = sns.boxplot(ax = axes[2,2], data=df, x=columns[9])\n",
    "ax8.set_title(f'Distribution of {columns[9]}')\n",
    "\n",
    "ax9 = sns.boxplot(ax = axes[3,0], data=df, x=columns[10])\n",
    "ax9.set_title(f'Distribution of {columns[10]}')\n",
    " \n",
    "ax10 = sns.boxplot(ax = axes[3,1], data=df, x=columns[11])\n",
    "ax10.set_title(f'Distribution of {columns[11]}')\n",
    "\n",
    "ax11 = sns.boxplot(ax = axes[3,2], data=df, x=columns[12])\n",
    "ax11.set_title(f'Distribution of {columns[12]}')\n",
    " \n",
    "ax12 = sns.boxplot(ax = axes[4,0], data=df, x=columns[13])\n",
    "ax12.set_title(f'Distribution of {columns[13]}')\n",
    " \n",
    "ax13 = sns.boxplot(ax = axes[4,1], data=df, x=columns[14])\n",
    "ax13.set_title(f'Distribution of {columns[14]}')\n",
    " \n",
    "ax14 = sns.boxplot(ax = axes[4,2], data=df, x=columns[15])\n",
    "ax14.set_title(f'Distribution of {columns[15]}')\n",
    " \n",
    "ax15 = sns.boxplot(ax = axes[5,0], data=df, x=columns[16])\n",
    "ax15.set_title(f'Distribution of {columns[16]}')\n",
    " \n",
    "ax16 = sns.boxplot(ax = axes[5,1], data=df, x=columns[17])\n",
    "ax16.set_title(f'Distribution of {columns[17]}')\n",
    " \n",
    "ax17 = sns.boxplot(ax = axes[5,2], data=df, x=columns[18])\n",
    "ax17.set_title(f'Distribution of {columns[18]}')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "bHCag3NETxq_",
    "outputId": "554b7361-16ab-4d7b-908a-5cc2fe52dbb9"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The column min value sent to contract has the following distribution: \n",
      "0.00    9839\n",
      "0.02       1\n",
      "0.01       1\n",
      "Name: min value sent to contract, dtype: int64\n",
      "======================================\n",
      "The column  ERC20 uniq sent addr.1 has the following distribution: \n",
      "0.0    9813\n",
      "1.0      26\n",
      "2.0       1\n",
      "3.0       1\n",
      "Name:  ERC20 uniq sent addr.1, dtype: int64\n",
      "======================================\n"
     ]
    }
   ],
   "source": [
    "# Some features present a small distribution\n",
    "for i in df.columns[1:]:\n",
    "  if len(df[i].value_counts()) < 10:\n",
    "    print(f'The column {i} has the following distribution: \\n{df[i].value_counts()}')\n",
    "    print('======================================')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "5BYk9vXdVGdp"
   },
   "source": [
    "It can be observed that the values of these two variables are mosty 0s. Thus, both features will be discarded since they will not be helpful for our model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 237
    },
    "id": "XBthf6AAVb6n",
    "outputId": "1fe09596-067a-437c-d448-97ab2a20ecdb"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(9841, 17)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FLAG</th>\n",
       "      <th>Avg min between sent tnx</th>\n",
       "      <th>Avg min between received tnx</th>\n",
       "      <th>Time Diff between first and last (Mins)</th>\n",
       "      <th>Sent tnx</th>\n",
       "      <th>Received Tnx</th>\n",
       "      <th>Number of Created Contracts</th>\n",
       "      <th>max value received</th>\n",
       "      <th>avg val received</th>\n",
       "      <th>avg val sent</th>\n",
       "      <th>total Ether sent</th>\n",
       "      <th>total ether balance</th>\n",
       "      <th>ERC20 total Ether received</th>\n",
       "      <th>ERC20 total ether sent</th>\n",
       "      <th>ERC20 total Ether sent contract</th>\n",
       "      <th>ERC20 uniq sent addr</th>\n",
       "      <th>ERC20 uniq rec token name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>844.26</td>\n",
       "      <td>1093.71</td>\n",
       "      <td>704785.63</td>\n",
       "      <td>721</td>\n",
       "      <td>89</td>\n",
       "      <td>0</td>\n",
       "      <td>45.806785</td>\n",
       "      <td>6.589513</td>\n",
       "      <td>1.200681</td>\n",
       "      <td>865.691093</td>\n",
       "      <td>-279.224419</td>\n",
       "      <td>3.558854e+07</td>\n",
       "      <td>3.560317e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>57.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>12709.07</td>\n",
       "      <td>2958.44</td>\n",
       "      <td>1218216.73</td>\n",
       "      <td>94</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>2.613269</td>\n",
       "      <td>0.385685</td>\n",
       "      <td>0.032844</td>\n",
       "      <td>3.087297</td>\n",
       "      <td>-0.001819</td>\n",
       "      <td>4.034283e+02</td>\n",
       "      <td>2.260809e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>246194.54</td>\n",
       "      <td>2434.02</td>\n",
       "      <td>516729.30</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>1.165453</td>\n",
       "      <td>0.358906</td>\n",
       "      <td>1.794308</td>\n",
       "      <td>3.588616</td>\n",
       "      <td>0.000441</td>\n",
       "      <td>5.215121e+02</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>10219.60</td>\n",
       "      <td>15785.09</td>\n",
       "      <td>397555.90</td>\n",
       "      <td>25</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>99.488840</td>\n",
       "      <td>70.001834</td>\n",
       "      <td>1750.045862</td>\n",
       "      <td>-854.646303</td>\n",
       "      <td>1.711105e+04</td>\n",
       "      <td>1.141223e+04</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>36.61</td>\n",
       "      <td>10707.77</td>\n",
       "      <td>382472.42</td>\n",
       "      <td>4598</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>12.802411</td>\n",
       "      <td>2.671095</td>\n",
       "      <td>0.022688</td>\n",
       "      <td>104.318883</td>\n",
       "      <td>-50.896986</td>\n",
       "      <td>1.628297e+05</td>\n",
       "      <td>1.235399e+05</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>27.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   FLAG  ...   ERC20 uniq rec token name\n",
       "0     0  ...                        57.0\n",
       "1     0  ...                         7.0\n",
       "2     0  ...                         8.0\n",
       "3     0  ...                        11.0\n",
       "4     0  ...                        27.0\n",
       "\n",
       "[5 rows x 17 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drops = ['min value sent to contract', ' ERC20 uniq sent addr.1']\n",
    "df.drop(drops, axis=1, inplace=True)\n",
    "print(df.shape)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "hhpZLEpdJr1I"
   },
   "source": [
    "# Data preparation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "pQm5keBhXo2D",
    "outputId": "5c48a08f-f93e-4bb6-debe-f95dbb47ea66"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(9841, 16) (9841,)\n"
     ]
    }
   ],
   "source": [
    "y = df.iloc[:, 0]\n",
    "X = df.iloc[:, 1:]\n",
    "print(X.shape, y.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "-j_zhWEXw-eT",
    "outputId": "5bdaf5e5-f3ff-4c44-bb80-ea0f363100af"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(7872, 16) (7872,)\n",
      "(1969, 16) (1969,)\n"
     ]
    }
   ],
   "source": [
    "# Split into training (80%) and testing set (20%)\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state = 123)\n",
    "print(X_train.shape, y_train.shape)\n",
    "print(X_test.shape, y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "id": "SbF17ABnJoKM"
   },
   "outputs": [],
   "source": [
    "# Normalize the training features\n",
    "norm = PowerTransformer()\n",
    "norm_train_f = norm.fit_transform(X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 450
    },
    "id": "ru53OEcUxxfT",
    "outputId": "52887eb3-98fd-4a03-fc92-43358f5e8dc9"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Avg min between sent tnx</th>\n",
       "      <th>Avg min between received tnx</th>\n",
       "      <th>Time Diff between first and last (Mins)</th>\n",
       "      <th>Sent tnx</th>\n",
       "      <th>Received Tnx</th>\n",
       "      <th>Number of Created Contracts</th>\n",
       "      <th>max value received</th>\n",
       "      <th>avg val received</th>\n",
       "      <th>avg val sent</th>\n",
       "      <th>total Ether sent</th>\n",
       "      <th>total ether balance</th>\n",
       "      <th>ERC20 total Ether received</th>\n",
       "      <th>ERC20 total ether sent</th>\n",
       "      <th>ERC20 total Ether sent contract</th>\n",
       "      <th>ERC20 uniq sent addr</th>\n",
       "      <th>ERC20 uniq rec token name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.294061</td>\n",
       "      <td>1.151313</td>\n",
       "      <td>1.393751</td>\n",
       "      <td>1.591951</td>\n",
       "      <td>1.017881</td>\n",
       "      <td>-0.401539</td>\n",
       "      <td>1.170696</td>\n",
       "      <td>0.988757</td>\n",
       "      <td>0.651223</td>\n",
       "      <td>1.416308</td>\n",
       "      <td>-0.007274</td>\n",
       "      <td>1.815951</td>\n",
       "      <td>2.508169</td>\n",
       "      <td>-0.038483</td>\n",
       "      <td>2.398649</td>\n",
       "      <td>1.831406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-1.096066</td>\n",
       "      <td>-1.184221</td>\n",
       "      <td>-1.638410</td>\n",
       "      <td>-1.391726</td>\n",
       "      <td>-1.785005</td>\n",
       "      <td>-0.401539</td>\n",
       "      <td>-1.407378</td>\n",
       "      <td>-1.283886</td>\n",
       "      <td>-1.138468</td>\n",
       "      <td>-1.252291</td>\n",
       "      <td>-0.006836</td>\n",
       "      <td>-0.746114</td>\n",
       "      <td>-0.410600</td>\n",
       "      <td>-0.038483</td>\n",
       "      <td>-0.437145</td>\n",
       "      <td>0.226082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.006354</td>\n",
       "      <td>0.213137</td>\n",
       "      <td>1.103220</td>\n",
       "      <td>1.970707</td>\n",
       "      <td>1.876994</td>\n",
       "      <td>-0.401539</td>\n",
       "      <td>0.613575</td>\n",
       "      <td>-0.995919</td>\n",
       "      <td>-0.869934</td>\n",
       "      <td>1.171479</td>\n",
       "      <td>-0.006819</td>\n",
       "      <td>-0.746114</td>\n",
       "      <td>-0.410600</td>\n",
       "      <td>-0.038483</td>\n",
       "      <td>-0.437145</td>\n",
       "      <td>-0.994019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-1.096066</td>\n",
       "      <td>1.220438</td>\n",
       "      <td>0.195684</td>\n",
       "      <td>-1.391726</td>\n",
       "      <td>-0.618856</td>\n",
       "      <td>2.490307</td>\n",
       "      <td>-0.871196</td>\n",
       "      <td>-0.822389</td>\n",
       "      <td>-1.138468</td>\n",
       "      <td>-1.252291</td>\n",
       "      <td>-0.006832</td>\n",
       "      <td>-0.746114</td>\n",
       "      <td>-0.410600</td>\n",
       "      <td>-0.038483</td>\n",
       "      <td>-0.437145</td>\n",
       "      <td>-0.994019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.628503</td>\n",
       "      <td>-1.121221</td>\n",
       "      <td>-0.904665</td>\n",
       "      <td>-0.206187</td>\n",
       "      <td>-0.618856</td>\n",
       "      <td>-0.401539</td>\n",
       "      <td>0.889875</td>\n",
       "      <td>1.277099</td>\n",
       "      <td>1.332663</td>\n",
       "      <td>0.787323</td>\n",
       "      <td>-0.006836</td>\n",
       "      <td>-0.746114</td>\n",
       "      <td>-0.410600</td>\n",
       "      <td>-0.038483</td>\n",
       "      <td>-0.437145</td>\n",
       "      <td>-0.994019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7867</th>\n",
       "      <td>-1.096066</td>\n",
       "      <td>0.249518</td>\n",
       "      <td>-0.705997</td>\n",
       "      <td>-0.590325</td>\n",
       "      <td>-0.618856</td>\n",
       "      <td>-0.401539</td>\n",
       "      <td>-0.535113</td>\n",
       "      <td>-0.269750</td>\n",
       "      <td>0.183532</td>\n",
       "      <td>-0.463079</td>\n",
       "      <td>-0.006836</td>\n",
       "      <td>-0.746114</td>\n",
       "      <td>-0.410600</td>\n",
       "      <td>-0.038483</td>\n",
       "      <td>-0.437145</td>\n",
       "      <td>0.226082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7868</th>\n",
       "      <td>1.128623</td>\n",
       "      <td>0.633621</td>\n",
       "      <td>0.895636</td>\n",
       "      <td>0.707356</td>\n",
       "      <td>1.432439</td>\n",
       "      <td>-0.401539</td>\n",
       "      <td>0.339924</td>\n",
       "      <td>-0.354586</td>\n",
       "      <td>1.043745</td>\n",
       "      <td>1.010645</td>\n",
       "      <td>-0.006835</td>\n",
       "      <td>1.611838</td>\n",
       "      <td>-0.410600</td>\n",
       "      <td>-0.038483</td>\n",
       "      <td>-0.437145</td>\n",
       "      <td>1.238838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7869</th>\n",
       "      <td>-1.096066</td>\n",
       "      <td>-1.184221</td>\n",
       "      <td>-1.154101</td>\n",
       "      <td>-0.590325</td>\n",
       "      <td>-1.004903</td>\n",
       "      <td>-0.401539</td>\n",
       "      <td>-1.275895</td>\n",
       "      <td>-1.091970</td>\n",
       "      <td>-0.960939</td>\n",
       "      <td>-1.159157</td>\n",
       "      <td>-0.006835</td>\n",
       "      <td>-0.746114</td>\n",
       "      <td>-0.410600</td>\n",
       "      <td>-0.038483</td>\n",
       "      <td>-0.437145</td>\n",
       "      <td>-0.994019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7870</th>\n",
       "      <td>1.385084</td>\n",
       "      <td>0.988959</td>\n",
       "      <td>0.715180</td>\n",
       "      <td>0.707356</td>\n",
       "      <td>0.556810</td>\n",
       "      <td>-0.401539</td>\n",
       "      <td>1.858790</td>\n",
       "      <td>1.531808</td>\n",
       "      <td>1.671553</td>\n",
       "      <td>1.592460</td>\n",
       "      <td>-0.006835</td>\n",
       "      <td>1.514388</td>\n",
       "      <td>-0.410600</td>\n",
       "      <td>-0.038483</td>\n",
       "      <td>-0.437145</td>\n",
       "      <td>1.122262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7871</th>\n",
       "      <td>-1.096066</td>\n",
       "      <td>0.565250</td>\n",
       "      <td>0.761464</td>\n",
       "      <td>-1.391726</td>\n",
       "      <td>1.419117</td>\n",
       "      <td>2.490307</td>\n",
       "      <td>-0.956946</td>\n",
       "      <td>-0.971335</td>\n",
       "      <td>-1.138468</td>\n",
       "      <td>-1.252291</td>\n",
       "      <td>-0.006675</td>\n",
       "      <td>0.014594</td>\n",
       "      <td>-0.410600</td>\n",
       "      <td>-0.038483</td>\n",
       "      <td>-0.437145</td>\n",
       "      <td>0.956416</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7872 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Avg min between sent tnx  ...   ERC20 uniq rec token name\n",
       "0                     1.294061  ...                    1.831406\n",
       "1                    -1.096066  ...                    0.226082\n",
       "2                    -0.006354  ...                   -0.994019\n",
       "3                    -1.096066  ...                   -0.994019\n",
       "4                     0.628503  ...                   -0.994019\n",
       "...                        ...  ...                         ...\n",
       "7867                 -1.096066  ...                    0.226082\n",
       "7868                  1.128623  ...                    1.238838\n",
       "7869                 -1.096066  ...                   -0.994019\n",
       "7870                  1.385084  ...                    1.122262\n",
       "7871                 -1.096066  ...                    0.956416\n",
       "\n",
       "[7872 rows x 16 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "norm_df = pd.DataFrame(norm_train_f, columns=X_train.columns)\n",
    "norm_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 893
    },
    "id": "0b8xibWkZGAk",
    "outputId": "58de4033-0389-452b-9150-97c1467b875e"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x1008 with 18 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Distribution of features after log transformation\n",
    "\n",
    "b=20\n",
    "\n",
    "fig, axes = plt.subplots(6, 3, figsize=(14, 14), constrained_layout =True)\n",
    "plt.subplots_adjust(wspace = 0.5, hspace=0.8)\n",
    "axes[-1, -1].axis('off') # hide axes\n",
    "axes[-1, -2].axis('off') # hide axes\n",
    "plt.suptitle(\"Distribution of features after log\",y=0.95, family='Sherif', size=18, weight='bold')\n",
    " \n",
    "ax = sns.boxplot(ax = axes[0,0], data=norm_df, x=norm_df.columns[0])\n",
    "ax.set_title(f'Distribution of {norm_df.columns[0]}')\n",
    " \n",
    "ax1 = sns.boxplot(ax = axes[0,1], data=norm_df, x=norm_df.columns[1])\n",
    "ax1.set_title(f'Distribution of {norm_df.columns[1]}')\n",
    " \n",
    "ax2 = sns.boxplot(ax = axes[0,2], data=norm_df, x=norm_df.columns[2])\n",
    "ax2.set_title(f'Distribution of {norm_df.columns[2]}')\n",
    " \n",
    "ax3 = sns.boxplot(ax = axes[1,0], data=norm_df, x=norm_df.columns[3])\n",
    "ax3.set_title(f'Distribution of {norm_df.columns[3]}')\n",
    " \n",
    "ax4 = sns.boxplot(ax = axes[1,1], data=norm_df, x=norm_df.columns[4])\n",
    "ax4.set_title(f'Distribution of {norm_df.columns[4]}')\n",
    " \n",
    "ax5 = sns.boxplot(ax = axes[1,2], data=norm_df, x=norm_df.columns[5])\n",
    "ax5.set_title(f'Distribution of {norm_df.columns[5]}')\n",
    " \n",
    "ax6 = sns.boxplot(ax = axes[2,0], data=norm_df, x=norm_df.columns[6])\n",
    "ax6.set_title(f'Distribution of {norm_df.columns[6]}')\n",
    " \n",
    "ax7 = sns.boxplot(ax = axes[2,1], data=norm_df, x=norm_df.columns[7])\n",
    "ax7.set_title(f'Distribution of {norm_df.columns[7]}')\n",
    " \n",
    "ax8 = sns.boxplot(ax = axes[2,2], data=norm_df, x=norm_df.columns[8])\n",
    "ax8.set_title(f'Distribution of {norm_df.columns[8]}')\n",
    " \n",
    "ax9 = sns.boxplot(ax = axes[3,0], data=norm_df, x=norm_df.columns[9])\n",
    "ax9.set_title(f'Distribution of {norm_df.columns[9]}')\n",
    "\n",
    "ax10 = sns.boxplot(ax = axes[3,1], data=norm_df, x=norm_df.columns[10])\n",
    "ax10.set_title(f'Distribution of {norm_df.columns[10]}')\n",
    " \n",
    "ax11 = sns.boxplot(ax = axes[3,2], data=norm_df, x=norm_df.columns[11])\n",
    "ax11.set_title(f'Distribution of {norm_df.columns[11]}')\n",
    " \n",
    "ax12 = sns.boxplot(ax = axes[4,0], data=norm_df, x=norm_df.columns[12])\n",
    "ax12.set_title(f'Distribution of {norm_df.columns[12]}')\n",
    " \n",
    "ax13 = sns.boxplot(ax = axes[4,1], data=norm_df, x=norm_df.columns[13])\n",
    "ax13.set_title(f'Distribution of {norm_df.columns[13]}')\n",
    " \n",
    "ax14 = sns.boxplot(ax = axes[4,2], data=norm_df, x=norm_df.columns[14])\n",
    "ax14.set_title(f'Distribution of {norm_df.columns[14]}')\n",
    " \n",
    "ax15 = sns.boxplot(ax = axes[5,0], data=norm_df, x=norm_df.columns[15])\n",
    "ax15.set_title(f'Distribution of {norm_df.columns[15]}')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "GpMnWjR_0q-l"
   },
   "source": [
    "# Handling the imbalance\n",
    "Oversampling using SMOTE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "vOwURJtT00O6",
    "outputId": "a8e3ccc8-11ff-461b-f1cf-29dde7f0848c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of the training before SMOTE: ((7872, 16), (7872,))\n",
      "Shape of the training after SMOTE: ((12230, 16), (12230,))\n"
     ]
    }
   ],
   "source": [
    "oversample = SMOTE()\n",
    "print(f'Shape of the training before SMOTE: {norm_train_f.shape, y_train.shape}')\n",
    "\n",
    "x_tr_resample, y_tr_resample = oversample.fit_resample(norm_train_f, y_train)\n",
    "print(f'Shape of the training after SMOTE: {x_tr_resample.shape, y_tr_resample.shape}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "ikoi7HTh2CGl",
    "outputId": "77b32d4d-d05c-4310-e207-73092a25db5f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BEFORE OVERSAMPLING \n",
      " \tNon-frauds: 6115 \n",
      " \tFauds: 1757\n",
      "AFTER OVERSAMPLING \n",
      " \tNon-frauds: 6115 \n",
      " \tFauds: 6116\n"
     ]
    }
   ],
   "source": [
    "# Target distribution before SMOTE\n",
    "non_fraud = 0\n",
    "fraud = 0\n",
    "\n",
    "for i in y_train:\n",
    "  if i == 0:\n",
    "    non_fraud +=1\n",
    "  else:\n",
    "    fraud +=1\n",
    "\n",
    "# Target distribution after SMOTE\n",
    "no = 0\n",
    "yes = 1\n",
    "\n",
    "for j in y_tr_resample:\n",
    "  if j == 0:\n",
    "    no +=1\n",
    "  else:\n",
    "    yes +=1\n",
    "\n",
    "\n",
    "print(f'BEFORE OVERSAMPLING \\n \\tNon-frauds: {non_fraud} \\n \\tFauds: {fraud}')\n",
    "print(f'AFTER OVERSAMPLING \\n \\tNon-frauds: {no} \\n \\tFauds: {yes}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "rIx3XFt30PIc"
   },
   "source": [
    "# Modeling\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "vCpj6ettIztq"
   },
   "source": [
    "## Logistic regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "id": "6DTaagb4ZV21"
   },
   "outputs": [],
   "source": [
    "LR = LogisticRegression(random_state=42)\n",
    "LR.fit(x_tr_resample, y_tr_resample)\n",
    "\n",
    "# Transform test features\n",
    "norm_test_f = norm.transform(X_test)\n",
    "\n",
    "preds = LR.predict(norm_test_f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "0xBHMea-8qyL",
    "outputId": "e09d66c9-cb3a-4de8-c492-19b98d9cccc0"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1969,)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0    1547\n",
       "1     422\n",
       "Name: FLAG, dtype: int64"
      ]
     },
     "execution_count": 32,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(y_test.shape)\n",
    "y_test.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 486
    },
    "id": "O_eJRGcX6D1z",
    "outputId": "df87b4ad-1898-4be2-de4a-490f6a8488b7"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.98      0.82      0.89      1547\n",
      "           1       0.58      0.94      0.72       422\n",
      "\n",
      "    accuracy                           0.84      1969\n",
      "   macro avg       0.78      0.88      0.80      1969\n",
      "weighted avg       0.89      0.84      0.85      1969\n",
      "\n",
      "[[1262  285]\n",
      " [  27  395]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x7f0ba6338290>"
      ]
     },
     "execution_count": 33,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(classification_report(y_test, preds))\n",
    "print(confusion_matrix(y_test, preds))\n",
    "plot_confusion_matrix(LR, norm_test_f, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "urW6oLe_7yh_"
   },
   "source": [
    "Considering the confusion matrix:\n",
    " - LR model, correctly identified 395 (TP) of FRAUD cases, out of 422 (P).\n",
    " - LR model flagged as FRAUD 285 (FP) out of 1547, when this cases were actually NON-FRAUD\n",
    " \n",
    "\n",
    "Dealing with a fraud detection scenario, we care more about the transactions that were actualy FRAUDS, but which were treated as NON-FRAUD by our model (FN - 27) TYPE II ERROR\n",
    "\n",
    "Therby, let's try to increase the precision using other methods.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "weAI7OI5Azto"
   },
   "source": [
    "## Random Forest Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 486
    },
    "id": "eLoAgvvDAy9Z",
    "outputId": "a6ade1d5-4660-4f75-8141-bd83c75bf9d8"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.99      0.97      0.98      1547\n",
      "           1       0.91      0.96      0.94       422\n",
      "\n",
      "    accuracy                           0.97      1969\n",
      "   macro avg       0.95      0.97      0.96      1969\n",
      "weighted avg       0.97      0.97      0.97      1969\n",
      "\n",
      "[[1507   40]\n",
      " [  16  406]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x7f0ba625a090>"
      ]
     },
     "execution_count": 34,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "RF = RandomForestClassifier(random_state=42)\n",
    "RF.fit(x_tr_resample, y_tr_resample)\n",
    "preds_RF = RF.predict(norm_test_f)\n",
    "\n",
    "print(classification_report(y_test, preds_RF))\n",
    "print(confusion_matrix(y_test, preds_RF))\n",
    "plot_confusion_matrix(RF, norm_test_f, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "PbbpMfFRCcOt"
   },
   "source": [
    "The RF classifier seems to produce more efective results\n",
    " - Both FP and FN are reduced considerably increasing the recal & precision\n",
    " - Using RF, the model fails to detect 16 FRAUD cases. \n",
    "\n",
    "\n",
    "Let's see if we can increase these results."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "6SRlV0rCE31p"
   },
   "source": [
    "## XGBClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 486
    },
    "id": "_mHuYXeCD0_Q",
    "outputId": "fd893fde-c294-4fab-84a7-2090665ba58a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       1.00      0.93      0.96      1547\n",
      "           1       0.79      0.98      0.88       422\n",
      "\n",
      "    accuracy                           0.94      1969\n",
      "   macro avg       0.89      0.96      0.92      1969\n",
      "weighted avg       0.95      0.94      0.94      1969\n",
      "\n",
      "[[1437  110]\n",
      " [   7  415]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x7f0ba2da2f90>"
      ]
     },
     "execution_count": 49,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "xgb_c = xgb.XGBClassifier(seed=42)\n",
    "xgb_c.fit(x_tr_resample, y_tr_resample)\n",
    "preds_xgb = xgb_c.predict(norm_test_f)\n",
    "\n",
    "print(classification_report(y_test, preds_xgb))\n",
    "print(confusion_matrix(y_test, preds_xgb))\n",
    "plot_confusion_matrix(xgb_c, norm_test_f, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "h97o8qHJ2lbz"
   },
   "source": [
    "The results of XGBClassifier shows that its doing worse than the RF when it comes to NON-FRAUD transactions, flagging 110 cases as fraud when they were actually non-fraud.\n",
    "\n",
    "\n",
    "On the other hand, when it comes to identifiying FRAUDS, XGBClassifier only misses 7 transactions out of 422, suggesting the best recall score.\n",
    "\n",
    "Considering that, the XGBClassifier is the choice that we want.\n",
    "\n",
    "Let's see if we can improve thesis results."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "R5uC3G754SfB"
   },
   "source": [
    "# Hyperparameters tuning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "ES8x1xb-4Hsk",
    "outputId": "6ba5aa0e-c9fd-4b63-f468-ec86412c9787"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best params found for XGBoost are: {'colsample_bytree': 0.7, 'learning_rate': 0.1, 'max_depth': 4, 'n_estimators': 200, 'subsample': 0.3}\n",
      "Best recall obtained by the best params: 0.9947648235508062\n"
     ]
    }
   ],
   "source": [
    "params_grid = {'learning_rate':[0.01, 0.1, 0.5],\n",
    "              'n_estimators':[100,200],\n",
    "              'subsample':[0.3, 0.5, 0.9],\n",
    "               'max_depth':[2,3,4],\n",
    "               'colsample_bytree':[0.3,0.5,0.7]}\n",
    "\n",
    "grid = GridSearchCV(estimator=xgb_c, param_grid=params_grid, scoring='recall', cv = 10, verbose = 0)\n",
    "\n",
    "grid.fit(x_tr_resample, y_tr_resample)\n",
    "print(f'Best params found for XGBoost are: {grid.best_params_}')\n",
    "print(f'Best recall obtained by the best params: {grid.best_score_}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 486
    },
    "id": "PiHITY8AuUTQ",
    "outputId": "d4bf0ad3-e088-4b5b-dd72-73e04a78ebd7"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.99      0.97      0.98      1547\n",
      "           1       0.89      0.98      0.93       422\n",
      "\n",
      "    accuracy                           0.97      1969\n",
      "   macro avg       0.94      0.97      0.96      1969\n",
      "weighted avg       0.97      0.97      0.97      1969\n",
      "\n",
      "[[1498   49]\n",
      " [   9  413]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x7f0ba2a745d0>"
      ]
     },
     "execution_count": 51,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "preds_best_xgb = grid.best_estimator_.predict(norm_test_f)\n",
    "print(classification_report(y_test, preds_best_xgb))\n",
    "print(confusion_matrix(y_test, preds_best_xgb))\n",
    "plot_confusion_matrix(grid.best_estimator_, norm_test_f, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "cMqFBIg-xSPg"
   },
   "source": [
    "The results show that this tuned classifier provide good results if we care about missclassifying classes, flagging only 49 cases out of 1547 as FRAUD, when they were not actually FRAUD, and flagging 9 cases out of 422 as NON-FRAUD, when they were actually fraud.\n",
    "\n",
    "Even so, the FALSE NEGATIVES values, those that we care more about, seem to be  higher than were with the untruned XGBClassifier, but the untuned model, flagged a high values of actually NON-FRAUD cases (110) as FRAUD."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 513
    },
    "id": "GJgZj7rPy9_i",
    "outputId": "6cc23e94-3506-4d4c-d665-8ef7f6203251"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting AUC for tuned XGB Classifier\n",
    "probs = grid.best_estimator_.predict_proba(norm_test_f)\n",
    "pred = probs[:,1]\n",
    "fpr, tpr, threshold = roc_curve(y_test, pred)\n",
    "roc_auc = auc(fpr, tpr)\n",
    "\n",
    "plt.figure(figsize=(12,8))\n",
    "plt.title('ROC for tuned XGB Classifier')\n",
    "plt.plot(fpr, tpr, 'b', label = 'AUC = %0.2f' % roc_auc)\n",
    "plt.legend(loc = 'lower right')\n",
    "plt.plot([0,1], [0,1], 'r--')\n",
    "plt.ylabel('True Positive Rate')\n",
    "plt.xlabel('False Positive Rate')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "id": "xbZoxTsA4V3k"
   },
   "outputs": [],
   "source": [
    "# Save the model for further use\n",
    "pickle_out = open('XGB_FRAUD.pickle', 'wb')\n",
    "pickle.dump(grid.best_estimator_, pickle_out)\n",
    "pickle_out.close()"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "collapsed_sections": [],
   "name": "Ethereum_fraud.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",
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