online-payment-fraud-detection.ipynb

{"cells":[{"source":"<a href=\"https://www.kaggle.com/code/seuwenfei/online-payment-fraud-detection?scriptVersionId=127055269\" target=\"_blank\"><img align=\"left\" alt=\"Kaggle\" title=\"Open in Kaggle\" src=\"https://kaggle.com/static/images/open-in-kaggle.svg\"></a>","metadata":{},"cell_type":"markdown"},{"cell_type":"markdown","id":"4062446e","metadata":{"papermill":{"duration":0.014434,"end_time":"2023-04-24T17:18:51.900576","exception":false,"start_time":"2023-04-24T17:18:51.886142","status":"completed"},"tags":[]},"source":["# <div style='background:darkblue'>  <font color='white'>  <b>&nbsp;Introduction</b> </font> </div>\n"]},{"cell_type":"markdown","id":"a766e8a1","metadata":{"papermill":{"duration":0.014237,"end_time":"2023-04-24T17:18:51.92751","exception":false,"start_time":"2023-04-24T17:18:51.913273","status":"completed"},"tags":[]},"source":["Online payment is the most popular transaction method in the world today. However, with an increase in online payments also comes a rise in payment fraud. The objective of this study is **to identify fraudulent and non-fraudulent payments**. The dataset is collected from Kaggle, which contains historical information about fraudulent transactions which can be used to detect fraud in online payments. \n","\n","\n","The dataset consists of 10 variables:\n","* **step**: represents a unit of time where 1 step equals 1 hour\n","* **type**: type of online transaction\n","* **amount**: the amount of the transaction\n","* **nameOrig**: customer starting the transaction\n","* **oldbalanceOrg**: balance before the transaction\n","* **newbalanceOrig**: balance after the transaction\n","* **nameDest**: recipient of the transaction\n","* **oldbalanceDest**: initial balance of recipient before the transaction\n","* **newbalanceDest**: the new balance of recipient after the transaction\n","* **isFraud**: fraud transaction"]},{"cell_type":"code","execution_count":1,"id":"2f48ba7c","metadata":{"_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","execution":{"iopub.execute_input":"2023-04-24T17:18:51.956896Z","iopub.status.busy":"2023-04-24T17:18:51.956159Z","iopub.status.idle":"2023-04-24T17:18:59.599731Z","shell.execute_reply":"2023-04-24T17:18:59.598224Z"},"papermill":{"duration":7.662281,"end_time":"2023-04-24T17:18:59.602768","exception":false,"start_time":"2023-04-24T17:18:51.940487","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["/kaggle/input/online-payment-fraud-detection/onlinefraud.csv\n"]}],"source":["import numpy as np \n","import pandas as pd \n","import matplotlib.pyplot as plt\n","%matplotlib inline\n","import seaborn as sns\n","import scipy as sp\n","from tabulate import tabulate\n","import random\n","import tensorflow as tf\n","\n","import os\n","for dirname, _, filenames in os.walk('/kaggle/input'):\n","    for filename in filenames:\n","        print(os.path.join(dirname, filename))"]},{"cell_type":"markdown","id":"388a80ea","metadata":{"papermill":{"duration":0.01259,"end_time":"2023-04-24T17:18:59.627859","exception":false,"start_time":"2023-04-24T17:18:59.615269","status":"completed"},"tags":[]},"source":["# <div style='background:darkblue'>  <font color='white'> <b>&nbsp;Exploratory Data Analysis</b></font> </div>"]},{"cell_type":"code","execution_count":2,"id":"8c130490","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:18:59.657203Z","iopub.status.busy":"2023-04-24T17:18:59.656048Z","iopub.status.idle":"2023-04-24T17:19:23.693618Z","shell.execute_reply":"2023-04-24T17:19:23.691889Z"},"papermill":{"duration":24.055733,"end_time":"2023-04-24T17:19:23.69622","exception":false,"start_time":"2023-04-24T17:18:59.640487","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 6362620 entries, 0 to 6362619\n","Data columns (total 10 columns):\n"," #   Column          Dtype  \n","---  ------          -----  \n"," 0   step            int64  \n"," 1   type            object \n"," 2   amount          float64\n"," 3   nameOrig        object \n"," 4   oldbalanceOrg   float64\n"," 5   newbalanceOrig  float64\n"," 6   nameDest        object \n"," 7   oldbalanceDest  float64\n"," 8   newbalanceDest  float64\n"," 9   isFraud         int64  \n","dtypes: float64(5), int64(2), object(3)\n","memory usage: 485.4+ MB\n"]}],"source":["df = pd.read_csv('/kaggle/input/online-payment-fraud-detection/onlinefraud.csv')\n","\n","df.drop('isFlaggedFraud', axis=1, inplace=True)\n","\n","df.info()"]},{"cell_type":"markdown","id":"ee4d56f3","metadata":{"papermill":{"duration":0.012345,"end_time":"2023-04-24T17:19:23.721756","exception":false,"start_time":"2023-04-24T17:19:23.709411","status":"completed"},"tags":[]},"source":["* The dataset consists of 6,362,620 observations."]},{"cell_type":"code","execution_count":3,"id":"fa72d3c6","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:19:23.748483Z","iopub.status.busy":"2023-04-24T17:19:23.748039Z","iopub.status.idle":"2023-04-24T17:19:24.11223Z","shell.execute_reply":"2023-04-24T17:19:24.110994Z"},"papermill":{"duration":0.380653,"end_time":"2023-04-24T17:19:24.114798","exception":false,"start_time":"2023-04-24T17:19:23.734145","status":"completed"},"tags":[]},"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>step</th>\n","      <th>type</th>\n","      <th>amount</th>\n","      <th>nameOrig</th>\n","      <th>oldbalanceOrg</th>\n","      <th>newbalanceOrig</th>\n","      <th>nameDest</th>\n","      <th>oldbalanceDest</th>\n","      <th>newbalanceDest</th>\n","      <th>isFraud</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2889785</th>\n","      <td>228</td>\n","      <td>CASH_OUT</td>\n","      <td>364310.96</td>\n","      <td>C1882002610</td>\n","      <td>127348.00</td>\n","      <td>0.00</td>\n","      <td>C1255784537</td>\n","      <td>4814640.42</td>\n","      <td>5178951.39</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>2805863</th>\n","      <td>225</td>\n","      <td>PAYMENT</td>\n","      <td>20383.65</td>\n","      <td>C149337475</td>\n","      <td>403052.00</td>\n","      <td>382668.35</td>\n","      <td>M1589311961</td>\n","      <td>0.00</td>\n","      <td>0.00</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>1772525</th>\n","      <td>162</td>\n","      <td>CASH_IN</td>\n","      <td>27891.95</td>\n","      <td>C46285081</td>\n","      <td>29584.00</td>\n","      <td>57475.95</td>\n","      <td>C376931188</td>\n","      <td>640973.19</td>\n","      <td>553796.55</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>6261030</th>\n","      <td>608</td>\n","      <td>PAYMENT</td>\n","      <td>994.24</td>\n","      <td>C1126305428</td>\n","      <td>12549.64</td>\n","      <td>11555.40</td>\n","      <td>M595147503</td>\n","      <td>0.00</td>\n","      <td>0.00</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3707836</th>\n","      <td>277</td>\n","      <td>PAYMENT</td>\n","      <td>15309.73</td>\n","      <td>C768133022</td>\n","      <td>23391.50</td>\n","      <td>8081.77</td>\n","      <td>M1419231647</td>\n","      <td>0.00</td>\n","      <td>0.00</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["         step      type     amount     nameOrig  oldbalanceOrg  \\\n","2889785   228  CASH_OUT  364310.96  C1882002610      127348.00   \n","2805863   225   PAYMENT   20383.65   C149337475      403052.00   \n","1772525   162   CASH_IN   27891.95    C46285081       29584.00   \n","6261030   608   PAYMENT     994.24  C1126305428       12549.64   \n","3707836   277   PAYMENT   15309.73   C768133022       23391.50   \n","\n","         newbalanceOrig     nameDest  oldbalanceDest  newbalanceDest  isFraud  \n","2889785            0.00  C1255784537      4814640.42      5178951.39        0  \n","2805863       382668.35  M1589311961            0.00            0.00        0  \n","1772525        57475.95   C376931188       640973.19       553796.55        0  \n","6261030        11555.40   M595147503            0.00            0.00        0  \n","3707836         8081.77  M1419231647            0.00            0.00        0  "]},"execution_count":3,"metadata":{},"output_type":"execute_result"}],"source":["df.sample(5)"]},{"cell_type":"code","execution_count":4,"id":"4fafa11d","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:19:24.142914Z","iopub.status.busy":"2023-04-24T17:19:24.142486Z","iopub.status.idle":"2023-04-24T17:19:25.065283Z","shell.execute_reply":"2023-04-24T17:19:25.064049Z"},"papermill":{"duration":0.939661,"end_time":"2023-04-24T17:19:25.067758","exception":false,"start_time":"2023-04-24T17:19:24.128097","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["step              0\n","type              0\n","amount            0\n","nameOrig          0\n","oldbalanceOrg     0\n","newbalanceOrig    0\n","nameDest          0\n","oldbalanceDest    0\n","newbalanceDest    0\n","isFraud           0\n","dtype: int64"]},"execution_count":4,"metadata":{},"output_type":"execute_result"}],"source":["df.isnull().sum()"]},{"cell_type":"markdown","id":"0b416272","metadata":{"papermill":{"duration":0.012695,"end_time":"2023-04-24T17:19:25.093837","exception":false,"start_time":"2023-04-24T17:19:25.081142","status":"completed"},"tags":[]},"source":["* There are no missing values."]},{"cell_type":"code","execution_count":5,"id":"2b99a806","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:19:25.122642Z","iopub.status.busy":"2023-04-24T17:19:25.122117Z","iopub.status.idle":"2023-04-24T17:19:25.300894Z","shell.execute_reply":"2023-04-24T17:19:25.299107Z"},"papermill":{"duration":0.196922,"end_time":"2023-04-24T17:19:25.303816","exception":false,"start_time":"2023-04-24T17:19:25.106894","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["|    | columns        |   min value |   max value |\n","|----|----------------|-------------|-------------|\n","|  0 | amount         |           0 | 9.24455e+07 |\n","|  1 | oldbalanceOrg  |           0 |  5.9585e+07 |\n","|  2 | newbalanceOrig |           0 |  4.9585e+07 |\n","|  3 | oldbalanceDest |           0 | 3.56016e+08 |\n","|  4 | isFraud        |           0 |           1 |\n"]}],"source":["fraud_min_max = [\n","    ['amount', df.amount.min(), df.amount.max()],\n","    ['oldbalanceOrg', df.oldbalanceOrg.min(), df.oldbalanceOrg.max()],\n","    ['newbalanceOrig', df.newbalanceOrig.min(), df.newbalanceOrig.max()],\n","    ['oldbalanceDest', df.oldbalanceDest.min(), df.oldbalanceDest.max()],\n","    ['isFraud', df.isFraud.min(), df.isFraud.max()]\n","] \n","\n","print(\n","    tabulate(\n","        fraud_min_max,\n","        headers=['columns', 'min value', 'max value'],\n","        showindex=True,\n","        tablefmt='github',\n","        numalign='right'\n","    )\n",")"]},{"cell_type":"code","execution_count":6,"id":"3d0ca91a","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:19:25.331644Z","iopub.status.busy":"2023-04-24T17:19:25.331228Z","iopub.status.idle":"2023-04-24T17:19:26.97029Z","shell.execute_reply":"2023-04-24T17:19:26.968897Z"},"papermill":{"duration":1.656698,"end_time":"2023-04-24T17:19:26.97337","exception":false,"start_time":"2023-04-24T17:19:25.316672","status":"completed"},"tags":[]},"outputs":[],"source":["# Downcast numerical columns with smaller dtype\n","for col in df.columns:\n","    if df[col].dtype == 'float64':\n","        df[col] = pd.to_numeric(df[col], downcast='float')\n","    if df[col].dtype == 'int64':\n","        df[col] = pd.to_numeric(df[col], downcast='unsigned')\n","\n","# Use category dtype for categorical column\n","df['type'] = df['type'].astype('category')"]},{"cell_type":"code","execution_count":7,"id":"301389ad","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:19:27.00111Z","iopub.status.busy":"2023-04-24T17:19:27.000676Z","iopub.status.idle":"2023-04-24T17:19:47.128527Z","shell.execute_reply":"2023-04-24T17:19:47.127175Z"},"papermill":{"duration":20.145249,"end_time":"2023-04-24T17:19:47.131561","exception":false,"start_time":"2023-04-24T17:19:26.986312","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["0"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["# Check duplicate values\n","df.duplicated().sum()"]},{"cell_type":"markdown","id":"e3cb79d6","metadata":{"papermill":{"duration":0.013072,"end_time":"2023-04-24T17:19:47.157998","exception":false,"start_time":"2023-04-24T17:19:47.144926","status":"completed"},"tags":[]},"source":["* There are no duplicate values."]},{"cell_type":"code","execution_count":8,"id":"908e7656","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:19:47.187197Z","iopub.status.busy":"2023-04-24T17:19:47.186288Z","iopub.status.idle":"2023-04-24T17:19:47.191409Z","shell.execute_reply":"2023-04-24T17:19:47.190486Z"},"papermill":{"duration":0.022644,"end_time":"2023-04-24T17:19:47.193779","exception":false,"start_time":"2023-04-24T17:19:47.171135","status":"completed"},"tags":[]},"outputs":[],"source":["sns.set_style('whitegrid')\n","plt.rcParams['figure.figsize'] = (8,6)"]},{"cell_type":"markdown","id":"fcbab373","metadata":{"papermill":{"duration":0.014608,"end_time":"2023-04-24T17:19:47.221661","exception":false,"start_time":"2023-04-24T17:19:47.207053","status":"completed"},"tags":[]},"source":["<h2>\n","    <div style='background:steelblue'> \n","    <font color='white'>\n","    <b>&nbsp; Univariate data visualization</b>\n","    </font>\n","    </div>\n","</h2>"]},{"cell_type":"code","execution_count":9,"id":"10ebb7de","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:19:47.252974Z","iopub.status.busy":"2023-04-24T17:19:47.252117Z","iopub.status.idle":"2023-04-24T17:19:47.302051Z","shell.execute_reply":"2023-04-24T17:19:47.300796Z"},"papermill":{"duration":0.067881,"end_time":"2023-04-24T17:19:47.304617","exception":false,"start_time":"2023-04-24T17:19:47.236736","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["19     51352\n","18     49579\n","187    49083\n","235    47491\n","307    46968\n","       ...  \n","432        4\n","706        4\n","693        4\n","112        2\n","662        2\n","Name: step, Length: 743, dtype: int64"]},"execution_count":9,"metadata":{},"output_type":"execute_result"}],"source":["df['step'].value_counts()"]},{"cell_type":"markdown","id":"8f6c96fa","metadata":{"papermill":{"duration":0.012871,"end_time":"2023-04-24T17:19:47.330691","exception":false,"start_time":"2023-04-24T17:19:47.31782","status":"completed"},"tags":[]},"source":["* There are **743** steps, and every step has **at least 2** occurrences."]},{"cell_type":"code","execution_count":10,"id":"e2cec20d","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:19:47.359195Z","iopub.status.busy":"2023-04-24T17:19:47.358343Z","iopub.status.idle":"2023-04-24T17:19:48.063324Z","shell.execute_reply":"2023-04-24T17:19:48.062089Z"},"papermill":{"duration":0.722427,"end_time":"2023-04-24T17:19:48.066054","exception":false,"start_time":"2023-04-24T17:19:47.343627","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Text(0, 0.5, 'Number of transactions')"]},"execution_count":10,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["<Figure size 576x432 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["ax = sns.countplot(x='type', data=df, palette='PuBu')\n","for container in ax.containers:\n","    ax.bar_label(container)\n","plt.title('Count plot of transaction type')\n","plt.legend(bbox_to_anchor=(1.05,1), loc='upper left')\n","plt.ylabel('Number of transactions')"]},{"cell_type":"markdown","id":"3702c3d2","metadata":{"papermill":{"duration":0.013269,"end_time":"2023-04-24T17:19:48.092916","exception":false,"start_time":"2023-04-24T17:19:48.079647","status":"completed"},"tags":[]},"source":["* **Cash out** is **the most numerous** transaction type, followed by payment, cash in, transfer and debit types."]},{"cell_type":"code","execution_count":11,"id":"64f4281b","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:19:48.122542Z","iopub.status.busy":"2023-04-24T17:19:48.121547Z","iopub.status.idle":"2023-04-24T17:20:11.227537Z","shell.execute_reply":"2023-04-24T17:20:11.226223Z"},"papermill":{"duration":23.123627,"end_time":"2023-04-24T17:20:11.230134","exception":false,"start_time":"2023-04-24T17:19:48.106507","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Text(0.5, 1.0, 'Distribution of transaction amount')"]},"execution_count":11,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["<Figure size 576x432 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["sns.kdeplot(df['amount'], linewidth=4)\n","plt.title('Distribution of transaction amount')"]},{"cell_type":"markdown","id":"690b6a27","metadata":{"papermill":{"duration":0.013567,"end_time":"2023-04-24T17:20:11.257777","exception":false,"start_time":"2023-04-24T17:20:11.24421","status":"completed"},"tags":[]},"source":["* The distribution of transaction amounts is **right skewed**. \n","* This indicates that most values are clustered around the left tail of the distribution, with the longer right tail. \n","* (mode < median < mean)"]},{"cell_type":"code","execution_count":12,"id":"dacd6ea9","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:20:11.288205Z","iopub.status.busy":"2023-04-24T17:20:11.287377Z","iopub.status.idle":"2023-04-24T17:20:24.765306Z","shell.execute_reply":"2023-04-24T17:20:24.763961Z"},"papermill":{"duration":13.496367,"end_time":"2023-04-24T17:20:24.768091","exception":false,"start_time":"2023-04-24T17:20:11.271724","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["C1902386530    3\n","C363736674     3\n","C545315117     3\n","C724452879     3\n","C1784010646    3\n","              ..\n","C98968405      1\n","C720209255     1\n","C1567523029    1\n","C644777639     1\n","C1280323807    1\n","Name: nameOrig, Length: 6353307, dtype: int64"]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["df['nameOrig'].value_counts()"]},{"cell_type":"markdown","id":"dfee5426","metadata":{"papermill":{"duration":0.015723,"end_time":"2023-04-24T17:20:24.800009","exception":false,"start_time":"2023-04-24T17:20:24.784286","status":"completed"},"tags":[]},"source":["* There are **6353307** initial customers, and every step has **at least 1** occurrence."]},{"cell_type":"code","execution_count":13,"id":"f936f3b8","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:20:24.832974Z","iopub.status.busy":"2023-04-24T17:20:24.832406Z","iopub.status.idle":"2023-04-24T17:20:48.895548Z","shell.execute_reply":"2023-04-24T17:20:48.894173Z"},"papermill":{"duration":24.083141,"end_time":"2023-04-24T17:20:48.898437","exception":false,"start_time":"2023-04-24T17:20:24.815296","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Text(0.5, 1.0, 'Distribution of transaction amount')"]},"execution_count":13,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["<Figure size 576x432 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["sns.kdeplot(df['oldbalanceOrg'], linewidth=4)\n","plt.title('Distribution of transaction amount')"]},{"cell_type":"markdown","id":"107221cd","metadata":{"papermill":{"duration":0.014492,"end_time":"2023-04-24T17:20:48.927922","exception":false,"start_time":"2023-04-24T17:20:48.91343","status":"completed"},"tags":[]},"source":["* The distribution of pre-transaction balances of the initial customers is **right skewed**."]},{"cell_type":"code","execution_count":14,"id":"e97db1c3","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:20:48.959981Z","iopub.status.busy":"2023-04-24T17:20:48.959552Z","iopub.status.idle":"2023-04-24T17:21:12.411296Z","shell.execute_reply":"2023-04-24T17:21:12.410057Z"},"papermill":{"duration":23.470658,"end_time":"2023-04-24T17:21:12.413967","exception":false,"start_time":"2023-04-24T17:20:48.943309","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Text(0.5, 1.0, 'Distribution of transaction amount')"]},"execution_count":14,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["<Figure size 576x432 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["sns.kdeplot(df['newbalanceOrig'], linewidth=4)\n","plt.title('Distribution of transaction amount')"]},{"cell_type":"markdown","id":"2074a876","metadata":{"papermill":{"duration":0.016053,"end_time":"2023-04-24T17:21:12.445638","exception":false,"start_time":"2023-04-24T17:21:12.429585","status":"completed"},"tags":[]},"source":["* The distribution of post-transaction balances of the initial customers is **right skewed**."]},{"cell_type":"code","execution_count":15,"id":"1eb3b486","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:21:12.479238Z","iopub.status.busy":"2023-04-24T17:21:12.478529Z","iopub.status.idle":"2023-04-24T17:21:19.392132Z","shell.execute_reply":"2023-04-24T17:21:19.390666Z"},"papermill":{"duration":6.933264,"end_time":"2023-04-24T17:21:19.394795","exception":false,"start_time":"2023-04-24T17:21:12.461531","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["C1286084959    113\n","C985934102     109\n","C665576141     105\n","C2083562754    102\n","C248609774     101\n","              ... \n","M1470027725      1\n","M1330329251      1\n","M1784358659      1\n","M2081431099      1\n","C2080388513      1\n","Name: nameDest, Length: 2722362, dtype: int64"]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["df['nameDest'].value_counts()"]},{"cell_type":"markdown","id":"ddfeb87e","metadata":{"papermill":{"duration":0.015609,"end_time":"2023-04-24T17:21:19.42592","exception":false,"start_time":"2023-04-24T17:21:19.410311","status":"completed"},"tags":[]},"source":["* There are **2722362** recipients, and every step has **at least 1** occurrence."]},{"cell_type":"code","execution_count":16,"id":"45a38aa4","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:21:19.4598Z","iopub.status.busy":"2023-04-24T17:21:19.459356Z","iopub.status.idle":"2023-04-24T17:21:42.555374Z","shell.execute_reply":"2023-04-24T17:21:42.553912Z"},"papermill":{"duration":23.11648,"end_time":"2023-04-24T17:21:42.558268","exception":false,"start_time":"2023-04-24T17:21:19.441788","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Text(0.5, 1.0, 'Distribution of transaction amount')"]},"execution_count":16,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["<Figure size 576x432 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["sns.kdeplot(df['oldbalanceDest'], linewidth=4)\n","plt.title('Distribution of transaction amount')"]},{"cell_type":"markdown","id":"07095b18","metadata":{"papermill":{"duration":0.017391,"end_time":"2023-04-24T17:21:42.591569","exception":false,"start_time":"2023-04-24T17:21:42.574178","status":"completed"},"tags":[]},"source":["* The distribution of pre-transaction balances of the recipient is **right skewed**."]},{"cell_type":"code","execution_count":17,"id":"f9bc0134","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:21:42.625485Z","iopub.status.busy":"2023-04-24T17:21:42.625075Z","iopub.status.idle":"2023-04-24T17:22:05.884715Z","shell.execute_reply":"2023-04-24T17:22:05.882907Z"},"papermill":{"duration":23.280634,"end_time":"2023-04-24T17:22:05.888095","exception":false,"start_time":"2023-04-24T17:21:42.607461","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Text(0.5, 1.0, 'Distribution of transaction amount')"]},"execution_count":17,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["<Figure size 576x432 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["sns.kdeplot(df['newbalanceDest'], linewidth=4)\n","plt.title('Distribution of transaction amount')"]},{"cell_type":"markdown","id":"fe5a04fc","metadata":{"papermill":{"duration":0.020236,"end_time":"2023-04-24T17:22:05.933757","exception":false,"start_time":"2023-04-24T17:22:05.913521","status":"completed"},"tags":[]},"source":["* The distribution of post-transaction balances of the recipient is **right skewed**."]},{"cell_type":"code","execution_count":18,"id":"d29a326a","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:22:05.977774Z","iopub.status.busy":"2023-04-24T17:22:05.97689Z","iopub.status.idle":"2023-04-24T17:22:06.974976Z","shell.execute_reply":"2023-04-24T17:22:06.973673Z"},"papermill":{"duration":1.023904,"end_time":"2023-04-24T17:22:06.978263","exception":false,"start_time":"2023-04-24T17:22:05.954359","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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\n","text/plain":["<Figure size 576x432 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["ax = sns.countplot(x='isFraud', data=df, palette='PuBu')\n","for container in ax.containers:\n","    ax.bar_label(container)\n","plt.title('Count plot of fraud transaction')\n","plt.ylabel('Number of transactions')\n","\n","del ax"]},{"cell_type":"markdown","id":"23c1aee0","metadata":{"papermill":{"duration":0.019503,"end_time":"2023-04-24T17:22:07.018229","exception":false,"start_time":"2023-04-24T17:22:06.998726","status":"completed"},"tags":[]},"source":["* There are much **more non-fraudulent transactions** than fraudulent transactions."]},{"cell_type":"markdown","id":"2489ffd2","metadata":{"papermill":{"duration":0.016651,"end_time":"2023-04-24T17:22:07.052839","exception":false,"start_time":"2023-04-24T17:22:07.036188","status":"completed"},"tags":[]},"source":["<h2>\n","    <div style='background:steelblue'> \n","    <font color='white'>\n","    <b>&nbsp; Bivariate data visualization</b>\n","    </font>\n","    </div>\n","</h2>"]},{"cell_type":"code","execution_count":19,"id":"9fdf29bb","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:22:07.088507Z","iopub.status.busy":"2023-04-24T17:22:07.088058Z","iopub.status.idle":"2023-04-24T17:22:09.155821Z","shell.execute_reply":"2023-04-24T17:22:09.154354Z"},"papermill":{"duration":2.08899,"end_time":"2023-04-24T17:22:09.158714","exception":false,"start_time":"2023-04-24T17:22:07.069724","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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\n","text/plain":["<Figure size 1440x360 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["fig, ax = plt.subplots(1,2,figsize=(20,5))\n","\n","sns.countplot(x='type', data=df, hue='isFraud', palette='PuBu', ax=ax[0])\n","for container in ax[0].containers:\n","    ax[0].bar_label(container)\n","ax[0].set_title('Count plot of transaction type')\n","ax[0].legend(loc='best')\n","ax[0].set_ylabel('Number of transactions')\n","\n","df2 = df.groupby(['type', 'isFraud']).size().unstack()\n","df2.apply(lambda x : round(x/sum(x)*100, 2), axis=1).plot(kind='barh', stacked=True, color=['lightsteelblue', 'steelblue'], ax=ax[1])\n","for container in ax[1].containers:\n","    ax[1].bar_label(container, label_type='center')\n","ax[1].set_title('Count plot of transaction type')\n","ax[1].legend(bbox_to_anchor=(1.05,1), loc='upper left')\n","ax[1].set_ylabel('Number of transactions')\n","ax[1].grid(axis='y')"]},{"cell_type":"markdown","id":"ff042e51","metadata":{"papermill":{"duration":0.017384,"end_time":"2023-04-24T17:22:09.194105","exception":false,"start_time":"2023-04-24T17:22:09.176721","status":"completed"},"tags":[]},"source":["* Fraudulent transactions only occur in debit and transfer types."]},{"cell_type":"code","execution_count":20,"id":"f06058d8","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:22:09.230627Z","iopub.status.busy":"2023-04-24T17:22:09.230182Z","iopub.status.idle":"2023-04-24T17:22:10.659295Z","shell.execute_reply":"2023-04-24T17:22:10.657988Z"},"papermill":{"duration":1.451017,"end_time":"2023-04-24T17:22:10.662365","exception":false,"start_time":"2023-04-24T17:22:09.211348","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Text(0, 0.5, 'Number of transactions')"]},"execution_count":20,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["<Figure size 576x432 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["df['quantity'] = pd.cut(df['amount'], 5, labels=['very low', 'low', 'moderate', 'high', 'very high'])\n","\n","ax = sns.countplot(x='quantity', data=df, hue='isFraud', palette='PuBu')\n","for container in ax.containers:\n","    ax.bar_label(container)\n","plt.title('Count plot of amount quantity')\n","plt.legend(bbox_to_anchor=(1.05,1), loc='upper left')\n","plt.ylabel('Number of transactions')"]},{"cell_type":"markdown","id":"cbf0cce6","metadata":{"papermill":{"duration":0.020378,"end_time":"2023-04-24T17:22:10.703554","exception":false,"start_time":"2023-04-24T17:22:10.683176","status":"completed"},"tags":[]},"source":["* All fraudulent transactions fall into the category of very low amounts. \n","* This suggests that in most cases, small transactions are more prone to fraudulent transactions."]},{"cell_type":"code","execution_count":21,"id":"affa54c9","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:22:10.747267Z","iopub.status.busy":"2023-04-24T17:22:10.746532Z","iopub.status.idle":"2023-04-24T17:22:11.275658Z","shell.execute_reply":"2023-04-24T17:22:11.274203Z"},"papermill":{"duration":0.554259,"end_time":"2023-04-24T17:22:11.278524","exception":false,"start_time":"2023-04-24T17:22:10.724265","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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\n","text/plain":["<Figure size 576x432 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["df1 = df[df['isFraud']==1]\n","df2 = df1['step'].value_counts().head(10)\n","ax = df2.plot(kind='bar', color='lightsteelblue')\n","for container in ax.containers:\n","    ax.bar_label(container)\n","plt.title('Top 10 steps that often lead to fraudulent transactions')\n","plt.ylabel('Number of fraudulent transactions')\n","plt.xlabel('Step')\n","plt.grid(axis='x')\n","\n","del ax, df2"]},{"cell_type":"markdown","id":"dbbb17d4","metadata":{"papermill":{"duration":0.021774,"end_time":"2023-04-24T17:22:11.323091","exception":false,"start_time":"2023-04-24T17:22:11.301317","status":"completed"},"tags":[]},"source":["* **Step 212** has the highest number of fraudulent transactions, 40 cases. \n","* This indicates that Step 212 is the step that will most likely lead to fraudulent transactions."]},{"cell_type":"code","execution_count":22,"id":"84719f47","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:22:11.368407Z","iopub.status.busy":"2023-04-24T17:22:11.367649Z","iopub.status.idle":"2023-04-24T17:22:12.553705Z","shell.execute_reply":"2023-04-24T17:22:12.552213Z"},"papermill":{"duration":1.212574,"end_time":"2023-04-24T17:22:12.557009","exception":false,"start_time":"2023-04-24T17:22:11.344435","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Text(0.5, 0, 'Initial customers pre-transaction balance amount')"]},"execution_count":22,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAi0AAAGDCAYAAADnFyBxAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/NK7nSAAAACXBIWXMAAAsTAAALEwEAmpwYAABOrklEQVR4nO3dZ0AUV9828GvpIKJiFBW9jV0sKN6gYhcVkaai2ILdYCKKxoq9xF4TNWqIJWKMsWEIdsXeFYkmEW+jsYGKkSZ1geW8H3iYl7YsKLuwev2+KLuzc/4zs+XaM2fnyIQQAkRERERlnE5pF0BERERUFAwtREREpBUYWoiIiEgrMLQQERGRVmBoISIiIq3A0EJERERagaHlAzN06FDs379fI239/PPPaNeuHWxsbBAbG5vrvhcvXsDGxgYKhULleoqyrI2NDZ4/f65yXREREWjUqBEyMjJUbwBREbi4uOD69eslvt73ea36+flh3bp1JVwRUdnH0KJEcHAwPDw8YGNjgw4dOmDMmDG4deuW2ttt1KgRnj59qvZ23vfDPT09HcuXL8f27dsRFhaGSpUq5bq/Ro0aCAsLg66ursp15V22oDfzsLAw1KpV651qVafAwEAMHjy4tMsokxwcHHDlypXSLqNYCgoDR44cQZs2bUqpIipJDHvaT6+0CyiLduzYAX9/fyxcuBAdOnSAvr4+Ll68iJCQENja2pZ2eWVCdHQ05HI56tevX9ql0P/JyMiAnp56XtLqWLc66yWiDxN7WvJISEjA+vXrMW/ePDg6OsLExAT6+vpwcHDAjBkzAABpaWlYsmQJOnTogA4dOmDJkiVIS0sDUPA375y9J35+fli4cCG8vb1hY2MDT09PPHv2DADw2WefAQB69+4NGxsbHD16NF99gYGBGDRoEBYtWoT//ve/cHJywtWrVwvclszMTGzatAldu3aFvb09pk+fjoSEBACAl5cXAMDOzg42NjYICwvL93hl2/n48WM4OTlJjx82bFi+x+btyRk6dCi++eYbDBo0CDY2Nhg1ahRiYmLyLbtu3TrcunULixYtgo2NDRYtWpRvH547dw59+vRBq1at0LlzZ2zYsKHA7S/Iy5cvMX78eLRt2xZt2rSR1r9hwwZMnTpVaf2BgYHo1q0bbGxs4ODggN9++w2PHj3C/Pnz8fvvv8PGxkYKtAkJCZg+fTratm2Lrl27YtOmTcjMzMx1/JYuXQpbW1t069YNt2/fRmBgIDp37gx7e3scOnQo1zFYsWIFunTpgnbt2mHevHlITU0FAFy/fh2dOnWCv78/2rdvj5kzZyImJgZjx46Fra0tWrdujSFDhkht59WoUSMEBASgW7duaNOmDVasWFFgnW3atMGGDRsKrSWvadOm4cWLF/jiiy9gY2ODH374Qdqn+/fvR5cuXTB8+HAAgK+vL9q3b4///ve/+Oyzz/D3339L6yns9SKEwNKlS2Fvb49WrVrBzc0NDx48KNJz5NatWxg0aBBsbW3RuXNnBAYGYu/evQgODsa2bdtgY2ODL774AkDuHqPCXvvZx2P79u2wt7dHhw4dcPDgQWVPRQDAs2fP0L9/f7Rq1Qpffvkl4uLipPsK2y85xcfHY+zYsWjbti3s7OwwduxYvHr1Srq/sNeesn2Rva1FPd7Pnj3DsGHD0KZNG7Rp0wZTpkzB27dvpfsdHBywdetWuLm5oWXLlpg1axbevHmDMWPGwMbGBiNGjEB8fLy0fEhICFxcXGBra4uhQ4fi0aNH0n15e6Nz9p4UdgyUHV/SMoJyOX/+vLCyshLp6elKl/nmm2+Ep6enePPmjYiOjhYDBw4U69atE0IIcfDgQTFo0KBcyzds2FA8efJECCHEjBkzROvWrcWdO3dEenq6mDx5spg0aVKByxbk4MGDwsrKSuzYsUOkpaWJI0eOiFatWonY2FghhBBeXl5i3759Qggh9u/fL7p37y6ePXsmEhMThY+Pj5g6daoQQojnz5+Lhg0bvvN2qnp83vu9vLxEt27dxD///CNSUlKEl5eXWLVqldJls7ehoP1y7do1cf/+faFQKER4eLiwt7cXp06dUllXRkaGcHNzE0uWLBFJSUkiNTVV3Lx5UwghxPr168WUKVMKrD8pKUnY2NiIR48eCSGEiIqKEg8ePJCOR97jPW3aNPHFF1+IhIQE8fz5c+Ho6ChtT/bxO3DggMjIyBBr164VnTt3FgsWLBByuVxcvHhRtGzZUiQmJgohhFiyZIkYO3asiI2NFQkJCWLs2LFi9erV0n6wsrISK1euFHK5XKSkpIjVq1eLuXPnirS0NJGWliZu3rwpMjMzCzxGDRs2FF5eXiI2NlZERkYWWGdAQIBIT08XKSkphdZSkK5du4rLly/n26fTpk0TSUlJIiUlRQiR9TxNSEgQcrlcLF68WLi7u0uPKez1cuHCBdG3b18RHx8vMjMzxcOHD0VUVJTK50hERIRo2bKlCA4OFmlpaSImJkbcu3dPam/t2rVKt6Ow10T28fjmm29EWlqaOHfunLC2thZxcXEF7h8vLy/RoUMH8b///U8kJSWJ8ePH53oOqtov2XXGxMSI48ePi+TkZJGQkCAmTJggvvzyy1ztKHvtFbYvinO8nzx5Ii5duiTkcrmIjo4WQ4YMEYsXL861Dz09PcW///4rXr16Jdq2bSv69Okj/vrrL5GamiqGDh0qNmzYIIQQ4p9//hEtWrQQly5dEmlpacLf3190795dyOVyIUT+98ic+0LVMSjo+JJ2KXM9LTNnzoS9vT1cXV2LtPzRo0fh7OwMFxcXTJky5b3bj4uLQ6VKlQrttg4ODoaPjw8qV64Mc3Nz+Pj44LfffityG927d4e1tTX09PTg7u6O8PDwYtVobm6O4cOHQ19fH87OzqhTpw7OnTtXYJ0jRoxArVq1UK5cOUyePBlHjx4t8jiW993OvDw8PFCnTh0YGRnBycmp2NudrU2bNmjUqBF0dHTQuHFjuLi44MaNGyofd/fuXbx+/RrTp0+HiYkJDA0Ni3y6T0dHB3///TdSU1NRtWpVNGjQoMDlFAoFjh49iilTpsDU1BQ1a9bEyJEjc+23mjVrol+/ftDV1YWzszNevnwJHx8fGBgYoEOHDjAwMMCzZ88ghMC+ffswa9YsVKxYEaamphg7diyOHDmSqy5fX18YGBjAyMgIenp6+Pfff/HixQvo6+vD1tYWMplM6XZ9/vnnqFixImrUqIFhw4bh8OHD0n1Vq1bF0KFDoaenB0NDQ5W1FNWECRNgYmICIyMjAED//v1hamoKAwMDTJgwAffv35d6BAHlrxc9PT0kJSXhn3/+gRAC9erVQ9WqVQEU/hw5fPgw2rVrB1dXV+jr66NSpUqwsrIqUu2qXhN6enrw8fGBvr4+OnfuDBMTEzx+/Fjp+nr37o2GDRvCxMQEEydOxPHjx6UB6ar2S7ZKlSqhZ8+eMDY2hqmpKb788kvcvHkz1zLKXnvK9kVRnns51a5dG+3bt4eBgQHMzc0xcuTIfDV4eXnhk08+gYWFBWxtbWFtbY0mTZrA0NAQPXr0wL179wBkvad37twZ7du3h76+PkaPHo3U1NQCe4MLUtxjQNqlzJ1Q9vDwgJeXl3QqpjBPnjyBv78/9uzZgwoVKiA6Ovq9269YsSJiY2MLPd/++vVr1KhRQ/q7Ro0aeP36dZHb+OSTT6T/GxkZITk5uVg1WlhY5PogUtb+69evYWlpKf1taWmJjIyMIu+n993OvKpUqSL939jYuNjbne3OnTtYvXo1/v77b6SnpyMtLU06XVWYly9fokaNGsUeR2FiYoJ169Zh+/btmD17Nlq1aoUZM2agXr16+ZaNjY1Fenp6vv0WFRUl/V25cmXp/9kf3DmfE4aGhkhKSkJMTAxSUlLg4eEh3SeEyHW6p1KlSjA0NJT+Hj16NDZu3IhRo0YBAAYOHAhvb2+l21a9enXp/5aWlrmOb7Vq1aT/q6plzJgxCA0NBQAsXLgQ7u7uStvMuV6FQoF169bh+PHjiImJgY5O1veo2NhYlC9fPt++yfl6sbe3x2effYZFixYhMjISjo6OmDFjBkxNTQt9jrx8+RL/+c9/lNZXGFWviYoVK+Z6fql6nufc/zVq1EB6ejpiY2NRqVIllfslW0pKCpYtW4aLFy9Kp1iSkpKgUCikwe3KXnvK9kVRnns5vXnzBkuWLMGtW7eQlJQEIQTMzMxyLZP3Oa7suObdxzo6OqhevXqu11BhinsMSLuUuZ4WOzs7VKhQIddtz549w+jRo+Hh4YEhQ4ZI5zf37duHzz77TFo+54fBu7KxsYGBgQFOnz6tdJmqVavixYsX0t8vX76UvuEZGxvnOu/777//vndNeUVFRUHkmJw7Z/t564yMjJT+fvHiBfT09FC5cuVCv33nfLyy7SxNU6ZMQbdu3XD+/HmEhoZi0KBBufaHMtWrV8fLly8L7GnKe9zevHmT6/6OHTtix44duHTpEurWrYu5c+cCQL79WKlSJejr6+fbbxYWFsXaxux1GRkZ4ciRI7h16xZu3bqF0NDQXN8487ZvamoKPz8/hISEYPPmzdixY4fSMU/ZtWV78eJFruObc92qatm6dSvCwsIQFhZWaGDJu97g4GCEhIRgx44dCA0NxZkzZwCgSMcTAIYNG4bAwEAcPXoUT548wdatWwEU/hypXr26NC6msNoKUtKviZz7/+XLl1JvR3H2y/bt2/H48WPs27cPt2/fxu7du5Uum5eyfVGU515Oa9euhUwmQ3BwMG7fvo1Vq1YV+RjmlXcfCyFyvYaMjY2RkpIi3V+c99iivO9R2VbmQktB5s6di7lz5yIwMBAzZszAwoULAWT1tDx+/BiDBg3CgAEDcOHChfduq3z58vD19cWiRYtw+vRppKSkID09HefPn8fKlSsBZF23YfPmzYiJiUFMTAy+++47uLm5AQAaN26Mv//+G+Hh4ZDL5cUaJApkfRtRdT2SmJgYBAQEID09HceOHcOjR4/QuXPnfMu5urpi586deP78OZKSkrBu3Tr06tULenp6MDc3h46OTqFtFbad6qRqHyQlJaFChQowNDTE3bt3c53SKIy1tTWqVKmCNWvWIDk5GXK5XOodsLKyws2bN/HixQskJCTg+++/lx735s0bnD59GsnJyTAwMICJiYn0zbdy5cqIioqSBmPq6urCyckJ69atQ2JiIiIjI7Fjxw6VH+QF0dHRgaenJ5YuXSr1jkVFReHixYtKH3P27Fk8ffoUQgiUL18eurq6hb5Rb9u2DfHx8Xj58iUCAgLg7OxcYrUU5bmclJQEAwMDVKpUCSkpKVi7dm2hy+d09+5d3LlzB+np6TA2NoaBgYF0XAp7jri5ueHKlSvSqdLY2FjpdEnlypURERGhtM2Sfk389ttvePjwIVJSUvDtt9+iZ8+e0NXVLdZ+SUpKgqGhIczMzBAXF4eNGzcWuX1l+6K4xzspKQkmJiYoX748oqKipPD4Lnr16oXz58/j6tWrSE9Px/bt22FgYAAbGxsAWe+xhw8fhkKhwIULF/KdhiqMquNLZV+ZDy1JSUkICwvDxIkT0bt3b8ybN09K1gqFAk+fPsWuXbuwZs0azJ07N9eI9Xc1atQo+Pn5YdOmTbC3t0eXLl2we/dudO/eHQAwbtw4NGvWDO7u7nB3d0fTpk0xbtw4AECdOnXg4+ODESNGwNHREf/973+L1fb48ePh5+cHW1vbAn89BGR9+D59+hRt27bFN998g/Xr1+e7TgoA9OvXD+7u7vDy8kK3bt1gYGAg9RAYGxvjiy++wODBg2Fra4vff/893+ML2051GjZsGE6cOAE7OzssXrw43/3z58/H+vXrYWNjg++++w69evUq0np1dXWxZcsWPH36FF27dkWnTp1w7NgxAED79u3h7OwMd3d3eHh4oGvXrtLjMjMz8eOPP6Jjx45o3bo1bt68iQULFgAA2rZti/r166NDhw7StTzmzp0LY2NjdO/eHUOGDIGrqyv69ev3Tvti2rRpqF27NgYMGIBWrVphxIgRhZ6ff/r0KUaOHAkbGxsMHDgQgwcPRtu2bZUu361bN3h4eKBPnz7o0qUL+vfvX2K1eHt7Y/PmzbC1tcW2bdsKXKZPnz6oUaMGOnbsCBcXF7Rs2VLp+vJKSkrCnDlz0Lp1a3Tt2hUVK1bE6NGjART+HKlRowZ++OEH7NixA61bt0afPn1w//59AFnjSB4+fAhbW9sCn+sl/Zro3bs3/Pz80L59e6SlpWH27NnF3i/Dhw+HXC5H27ZtMXDgQHTs2LHI7Re2L4pzvMePH4979+7B1tYW3t7ecHR0LPpOyKNu3bpYtWoVvv76a7Rt2xZnz57Fli1bYGBgAACYPXs2zp49C1tbWwQHB0vvy0Wh6vhS2ScT79qHp0YRERH44osvcPjwYSQmJsLJyQmXLl3Kt9y8efPQokUL6QNh+PDhmDJlCqytrTVdssYEBgZi//792LNnT2mXQlquUaNGOHnyJGrXrl3apRARFUmZ72nJ/gVG9jdiIYT0TaB79+7SLwJiYmLw5MmTMnnVVCIiInp/Ze7XQ5MnT8aNGzcQGxuLTp06YcKECVi1ahUWLFiAzZs3IyMjA87OzmjcuDE6duyIy5cvw9nZGbq6upg+fXqBp0mIiIhI+5XJ00NEREREeZX500NEREREAEMLERERaYkyNabl999/z3V1TyIiog+ZXC4v1k/9P3ZlKrQYGhoWeQ4QIiIibfeuc7B9rHh6iIiIiLQCQwsRERFpBYYWIiIi0gplakwLERERqUd6ejoiIiJyzWhfFhkZGaFmzZrQ19fPd1+phJa3b99izpw5ePDgAWQyGZYuXSrN4AlkzXz6ww8/AADKlSuHBQsWoHHjxgAABwcHlCtXDjo6OtDV1UVgYCAA4NixY9i4cSMePXqE/fv3o3nz5tL6vv/+exw4cAA6OjqYM2cOOnbsiJcvX2L69OmIjo6GTCbDgAEDMHz48PfetkOHDmHz5s0AgC+//BJ9+/YFAKSlpeHrr7/GjRs3IJPJ8NVXX6Fnz57v3R4REVFRREREoHz58vj0008Lnf29NAkhEB0djYiICNSpU6fABTRu+vTpYt++fUIIIeRyuYiPjxdCCHHv3j0hhBChoaEiLi5OCCHEuXPnRP/+/aXHdu3aVURHR+db58OHD8WjR4+El5eXuHv3rnT733//Ldzc3IRcLhfPnj0T3bp1ExkZGSIqKkr8+eefQgghEhIShKOjo/j777+LvA1eXl7i+fPnuW6LjY0VDg4OIjY2VsTFxQkHBwdpO7799luxdu1aIYQQCoWiwG0gIqKPS/bnnqbayszM1Fh77yozM1PpftH4mJaEhATcvHkT/fv3BwAYGBjAzMws1zKtWrVChQoVAAAtW7bEq1evVK63Xr16qFu3br7bQ0JC4OLiAgMDA9SqVQu1a9fG3bt3UbVqVTRt2hRA1qSMdevWRVRUFADg2bNnGD16NDw8PDBkyBA8evSoSNt26dIltG/fHhUrVkSFChXQvn17XLx4EQBw8OBBjB07FgCgo6MDc3PzIq2TiIiopJTVHpacCqtR46ElIiIC5ubmmDlzJvr06YPZs2cjOTlZ6fIHDhxAp06dct2WHSj27t2rsr2oqChUq1ZN+tvCwkIKJzlrCg8PR4sWLQAAc+fOxdy5cxEYGIgZM2Zg4cKFRdo2ZW29ffsWAPDtt9+ib9++8PX1xZs3b4q0TiIiog/JhQsX0LNnT/To0QP+/v7FeqzGx7RkZGTg3r17mDt3Llq0aIHFixfD398fkyZNyrfstWvXcODAAfz888/SbXv27IGFhQWio6MxcuRI1K1bF3Z2du9cT1JSEnx9fTFr1iyYmpoiKSkJYWFhmDhxorRMWloagKzekoCAAABZvTHe3t7Q19dHzZo18d133xW6za9evYKNjQ1mzpyJHTt2YMWKFVi1atU7101ERPQ+FJmZ0NUpub6LoqxPoVBg0aJF2LFjBywsLNC/f384ODigfv36RWpD46GlWrVqqFatmtSr4eTkVGDSun//PubMmYMffvgBlSpVkm63sLAAAFSuXBk9evTA3bt3Cw0tFhYWuU4vRUVFSetIT0+Hr68v3Nzc4OjoCCBrEJCZmRmCgoLyratfv37o168fAGDo0KFYtmwZatasmautGzdu5GqrdevWqFSpEoyNjaU2nJyccODAARV7ioiISH10dXRw8sqDElufY7uGKpe5e/cuateujVq1agEAXFxcEBISUuTQovHTQ1WqVEG1atXwzz//AACuXr2KevXq5VrmxYsXmDBhAlauXJlr9HBycjISExOl/1++fBkNGjQotD0HBwccOXIEaWlpeP78OZ48eQJra2sIITB79mzUrVsXI0eOlJY3NTVFzZo1cezYMQBZIeb+/ftF2rYOHTrg0qVLiI+PR3x8PC5duoQOHTpAJpOha9euuH79utJtJiIi+tAVZchGYUrlJ89z587F1KlTkZ6ejlq1amHZsmXYs2cPXr16BSsrK3z33XeIi4uTxpJk/7Q5OjoaPj4+ALK6mFxdXaXxLqdOncLXX3+NmJgYjB07FlZWVti2bRsaNGiAXr16wdnZGbq6upg3bx50dXVx69YtBAUFoWHDhujduzcAYPLkyejcuTNWrVqFBQsWYPPmzcjIyICzs7P0k+vCVKxYEePGjZMGGfv4+KBixYoAgKlTp2L69OlYunQpzM3NsWzZspLerURERB80mRBClHYR2cLDwzlhIhERfTQ0+blXUFuaPj0UFhaGjRs3Ytu2bQCyrqMGQPp1bTZl+0XrLuOvyMws7RIkZakWIiKisq558+Z48uQJnj9/jrS0NBw5cgQODg5FfrzWXca/pAcOvY+ipEoiIiLKoqenh3nz5mHMmDFQKBTo16+fyrGpuR6vxtqIiIiojFJkZpbol++i/oS6c+fO6Ny58zu1oXWnh4iIiOj9leQ1WtSxvoIwtBAREZFWYGghIiIircDQQkRERFqBoYWIiIi0AkMLERERaQW1hpa3b9/C19cXTk5O6NWrF8LCwtTZHBEREZVhM2fOhL29PVxdXd/p8WoNLUuWLEHHjh1x/PhxBAUFcZJAIiKiMkKeodD4+jw8PLB169Z3bkNtF5dLSEjAzZs3sXz5cgCAgYEBDAwM1NUcERERFYOhni7sF+4tsfVdnT9Q5TJ2dnaIiIh45zbU1tMSEREBc3NzzJw5E3369MHs2bORnJysruaIiIjoA6e2npaMjAzcu3cPc+fORYsWLbB48WL4+/tj0qRJSh8jl8sRHh5e6HrL2izQquolIiKikqG20FKtWjVUq1YNLVq0AAA4OTnB39+/0McYGhqWuVCiirbVS0REZQe/+BaP2k4PValSBdWqVcM///wDALh69SoH4hIREdE7U+ssz3PnzsXUqVORnp6OWrVqYdmyZepsjoiIiMqwyZMn48aNG4iNjUWnTp0wYcIEeHp6Fvnxag0tVlZWCAwMVGcTRERE9A7kGYoi/eKnOOsz1NMtdJm1a9e+Vxu8Ii4REdFHSFXAKO31FYShhYiIiLQCQwsRERFpBYYWIiKij4QQorRLUKmwGhlaiIiIPgJGRkaIjo4u08FFCIHo6GgYGRkVeL9afz1EREREZUPNmjURERGBf//9t7RLKZSRkRFq1qxZ4H0MLURERB8BfX191KlTp7TLeC88PURERERagaGFiIiItAJDCxEREWkFhhYiIiLSCgwtREREpBUYWoiIiEgrMLQQERGRVmBoISIiIq3A0EJERERagaGFiIiItAJDCxEREWkFhhYiIiLSCgwtREREpBUYWoiIiEgrMLQQERGRVmBoISIiIq3A0EJERERagaGFiIiItAJDCxEREWkFhhYiIiLSCgwtREREpBUYWoiIiEgrMLQQERGRVmBoISIiIq3A0EJERERagaGFiIiItAJDCxEREWkFhhYiIiLSCgwtREREpBUYWoiIiEgrMLQQERGRVmBoISIiIq3A0EJERERagaGFiIiItIKeOlfu4OCAcuXKQUdHB7q6uggMDFRnc0RERPQBU2toAYCdO3fC3Nxc3c0QERHRB46nh4iIiEgrqL2nZfTo0ZDJZBg4cCAGDhxY6LJyuRzh4eGFLmNlZVWS5b03VfUSERFRyVBraNmzZw8sLCwQHR2NkSNHom7durCzs1O6vKGhYZkLJapoW71ERFR28Itv8aj19JCFhQUAoHLlyujRowfu3r2rzuaIiIjoA6a20JKcnIzExETp/5cvX0aDBg3U1RwRERF94NR2eig6Oho+Pj4AAIVCAVdXV3Tq1EldzREREdEHTm2hpVatWvjtt9/UtXoiIiL6yPAnz0RERKQVGFqIiIhIKzC0EBERkVZgaCEiIiKtwNBCREREWoGhhYiIiLQCQwsRERFpBYYWIiIi0goMLURERKQVGFqIiIhIKzC0EBERkVZgaCEiIiKtwNBCREREWoGhhYiIiLQCQwsRERFpBYYWIiIi0goMLURERKQVGFqIiIhIKzC0EBERkVZgaCEiIiKtwNBCREREWoGhhYiIiLRCsUJLZmYmEhMT1VULERERkVIqQ8uUKVOQmJiI5ORkuLq6wtnZGVu3btVEbUREREQSlaHl4cOHMDU1xenTp9GpUyeEhIQgKChIE7URERERSVSGloyMDKSnp+P06dNwcHCAvr4+ZDKZJmojIiIikqgMLQMHDoSDgwNSUlJgZ2eHyMhImJqaaqI2IiIiIolMCCGK+6CMjAzo6emVeDHh4eGwsrJSudzJKw9KvO134diuYWmXQEREWqyon3uURWXySEtLw4kTJxAZGYmMjAzp9vHjx6u1MCIiIqKcVIaWL7/8EuXLl0fTpk1hYGCgiZqIiIiI8lEZWqKiorBt2zZN1EJERESklMqBuDY2Nvjf//6niVqIiIiIlFLZ0xIaGopDhw7B0tIy1+mh4OBgtRZGRERElJPK0PLDDz9oog4iIiKiQqk8PWRpaYmEhAScPXsWZ8+eRUJCAiwtLTVRGxEREZFEZWjZuXMnpk6diujoaERHR2PatGnYtWuXJmojIiIikqg8PXTgwAHs27cPJiYmAIDPP/8cAwcOxNChQ9VeHBEREVE2lT0tAKCrq1vg/4mIiIg0RWVPi4eHBzw9PdGjRw8AwOnTp9GvXz+1F0ZERESUk8rQMnLkSLRu3RqhoaEAgGXLlqFJkyZqL4yIiIgoJ6WhJTExEaampoiLi4OlpWWuXwzFxcWhYsWKmqiPiIiICEAhoWXKlCn4/vvv4eHhAZlMJt0uhIBMJkNISEiRGlAoFOjXrx8sLCzw/fffv3/FRERE9FFSGlqyA8aZM2feq4GAgADUq1cPiYmJ77UeIiIi+rip/PXQ8OHDi3RbQV69eoVz586hf//+xa+MiIiIKAelPS1yuRwpKSmIjY1FfHw8hBAAssa6REVFFWnlS5cuxbRp05CUlFSk5eVyOcLDwwtdxsrKqkjr0hRV9RIREVHJUBpafvnlF+zcuROvX7+Gh4eHFFpMTU3h5eWlcsVnz56Fubk5mjVrhuvXrxepGENDwzIXSlTRtnqJiKjs4Bff4lEaWoYPH47hw4dj165d73T129u3b+PMmTO4cOEC5HI5EhMTMXXqVKxevfq9CiYiIqKPk8oxLTo6Onj79q30d3x8PHbv3q1yxVOmTMGFCxdw5swZrF27Fm3btmVgISIionemMrTs27cPZmZm0t8VKlTA/v371VoUERERUV4qr4ibmZkpXZsFyLruSnp6erEaadOmDdq0afNuFRIRERGhCKGlQ4cOmDRpEgYNGgQga4Bux44d1V4YERERUU4qQ8u0adPwyy+/YM+ePQCAdu3awdPTU+2FEREREeWkMrTo6OhgyJAhGDJkiCbqISIiIiqQytDy5MkTrF27Fg8fPoRcLpduL+rcQ0REREQlQeWvh2bOnInBgwdDV1cXAQEB6NOnD9zd3TVRGxEREZFEZWiRy+Wwt7cHAFhaWmLChAk4f/682gsjIiIiyknl6SEDAwNkZmaidu3a+Omnn2BhYVHkuYSIiIiISorKnpZZs2YhJSUFc+bMwV9//YWgoCCsWLFCE7URERERSVT2tFhbWwMAypUrhyVLliA5ORmmpqZqL4yIiIgoJ5U9LVOmTEFiYiKSk5Ph6uoKZ2dnbN26VRO1EREREUlUhpaHDx/C1NQUp0+fRqdOnRASEoKgoCBN1EZEREQkURlaMjIykJ6ejtOnT8PBwQH6+vrSPEREREREmqIytAwcOBAODg5ISUmBnZ0dIiMjOaaFiIiINE4mhBDFfVBGRgb09FSO4S228PBwWFlZqVzu5JUHJd72u3Bs17C0SyAiIi1W1M89yqIyeaSlpeHEiROIjIxERkaGdPv48ePVWhgRERFRTipDy5dffony5cujadOmMDAw0ERNRERERPmoDC1RUVHYtm2bJmohIiIiUkrlQFwbGxv873//00QtREREREqp7GkJDQ3FoUOHYGlpmev0UHBwsFoLIyIiIspJZWj54YcfNFEHERERUaFUhhZLS0sAQHR0NORyudoLIiIiIiqIytASEhKCFStW4PXr1zA3N8eLFy9Qr149HDlyRBP1EREREQEowkDcb7/9Fnv37sWnn36KM2fO4Mcff0SLFi00URsRERGRRGVo0dPTQ6VKlZCZmYnMzEy0bdsWf/75pyZqIyIiIpKoPD1kZmaGpKQk2NnZYerUqTA3N4eJiYkmaiMiIiKSqOxp2bRpE4yNjTFz5kx07NgR//nPf7B582ZN1EZEREQkKbSnRaFQYOzYsdi1axd0dHTQt29fTdVFRERElEuhPS26urrQ0dFBQkKCpuohIiIiKpDKMS0mJiZwc3NDu3btco1lmTNnjloLIyIiIspJZWhxdHSEo6NjrttkMpnaCiIiIiIqiMrQ8vbtWwwfPjzXbTt37lRbQUREREQFUfnroV9//TXfbYcOHVJHLURERERKKe1pOXz4MA4fPoyIiAh88cUX0u1JSUmoUKGCRoojIiIiyqY0tNjY2KBKlSqIjY3FqFGjpNvLlSuHRo0aaaQ4IiIiomxKQ4ulpSUsLS2xd+9eTdZDREREVCCVY1qIiIiIygKGFiIiItIKSkNL9s+cV61apbFiiIiIiJRROqbl33//xe3bt3HmzBm4uLhACJHr/qZNm6q9OCIiIqJsSkOLr68vNm3ahFevXmHZsmW57pPJZAgICFB7cURERETZlIYWJycnODk54bvvvoOPj0+xVyyXy/HZZ58hLS0NCoUCPXv2hK+v73sVS0RERB8vlZfx9/HxQUhICG7dugUAaN26Nbp27apyxQYGBti5cyfKlSuH9PR0DBkyBJ06dULLli3fu2giIiL6+Kj89dCaNWsQEBCAevXqoV69eggICMDatWtVrlgmk6FcuXIAgIyMDGRkZHCiRSIiInpnKntazp07h6CgIOjoZOWbvn37ok+fPpg8ebLKlSsUCnh4eODZs2cYMmQIWrRo8f4VExER0UdJZWgBsmZ6rlixIgAgISGhyCvX1dVFUFAQ3r59Cx8fHzx48AANGzZUurxcLkd4eHih67Sysipy+5qgql4iIiIqGSpDy9ixY9G3b1+0adMGQgjcvHkTU6dOLVYjZmZmaNOmDS5evFhoaDE0NCxzoUQVbauXiIjKDn7xLR6VocXV1RWtW7fGH3/8AQCYOnUqqlSponLFMTEx0NPTg5mZGVJTU3HlyhV8/vnn718xERERfZSKdHqoatWq6NatW7FW/Pr1a/j5+UGhUEAIAScnpyL96oiIiIioIEUKLe+icePG+PXXX9W1eiIiIvrIcMJEIiIi0gqFhhaFQgEnJydN1UJERESkVKGhRVdXF3Xq1MGLFy80VQ8RERFRgVSOaXn79i1cXFxgbW0NY2Nj6fYtW7aotTAiIiKinFSGlokTJ2qiDiIiIqJCqQwtrVu3RmRkJJ4+fYp27dohJSUFCoVCE7URERERSVT+emjfvn3w9fXFvHnzAABRUVHw8fFRe2FEREREOakMLbt378aePXtgamoKAPj0008RExOj9sKIiIiIclIZWgwMDGBgYCD9nZGRodaCiIiIiAqickyLnZ0dtmzZgtTUVFy+fBk///wzHBwcNFEbERERkURlT8vUqVNhbm6Ohg0bYu/evejcuTMmTZqkgdKIiIiI/j+VPS06Ojro06cPrK2tIZPJUKdOHchkMk3URkRERCRRGVrOnTuH+fPn4z//+Q+EEIiIiMDChQvRuXNnTdRHREREBKAIoWX58uUICAhA7dq1AQDPnj2Dt7c3QwsRERFplMoxLeXKlZMCCwDUqlUL5cqVU2tRRERERHkp7Wk5efIkAKBZs2b4/PPP0atXL8hkMhw/fhzNmzfXWIFEREREQCGh5ezZs9L/P/nkE9y8eRMAYG5uDrlcrv7KiIiIiHJQGlqWLVumyTqIiIiICqVyIO7z58/x008/ITIyMtfVcLds2aLWwoiIiIhyUhlafHx80L9/f3Tt2hU6OirH7RIRERGphcrQYmhoiGHDhmmiFiIiIiKlVIaWYcOGYePGjWjfvn2uiRObNm2q1sKIiIiIclIZWh48eICgoCBcu3ZNuny/TCZDQECA2osjIiIiyqYytBw/fhynT5/O1ctCREREpGkqR9Y2aNAACQkJmqiFiIiISCmVPS0JCQno1asXmjdvDn19fel2/uSZiIiINEllaJkwYYIm6iAiIiIqlMrQ0rp1a03UQURERFQolaHFxsZG+tVQeno6MjIyYGxsjNu3b6u9OCIiIqJsKkNLWFiY9H8hBEJCQvD777+rsyYiIiKifIp1XX6ZTIbu3bvj0qVL6qqHiIiIqEAqe1pOnjwp/T8zMxN//vknDA0N1VoUERERUV4qQ8vZs2el/+vq6sLS0hKbNm1Sa1FEREREeakMLcuWLdNEHURERESFUhpaNm7cqPRBMpkMPj4+aimIiIiIqCBKQ4uJiUm+25KTk3Hw4EHExcUxtBAREZFGKQ0to0aNkv6fmJiIgIAABAYGwtnZOdd9RERERJpQ6JiWuLg47NixA8HBwejbty8OHTqEChUqaKo2IiIiIonS0LJixQqcOnUKAwYMQHBwMMqVK6fJuoiIiIhyURpaduzYAQMDA2zevDnXjM5CCMhkMl7Gn4iIiDRKaWi5f/++JusgIiIiKpTK67S8q5cvX2L69OmIjo6GTCbDgAEDMHz4cHU1R0RERB84tYUWXV1d+Pn5oWnTpkhMTES/fv3Qvn171K9fX11NEhER0QesWBMmFkfVqlXRtGlTAICpqSnq1q2LqKgodTVHREREHzi19bTkFBERgfDwcLRo0aLQ5eRyOcLDwwtdxsrKqiRLe2+q6iUiIqKSofbQkpSUBF9fX8yaNQumpqaFLmtoaFjmQokq2lYvERGVHfziWzxqOz0EAOnp6fD19YWbmxscHR3V2RQRERF94NQWWoQQmD17NurWrYuRI0eqqxkiIiL6SKgttISGhiIoKAjXrl1D79690bt3b5w/f15dzREREdEHTm1jWmxtbfG///1PXasnIiKij4xax7QQERERlRSGFiIiItIKDC1ERESkFRhaiIiISCswtBAREZFWYGghIiIircDQQkRERFqBoYWIiIi0AkMLERERaQWGFiIiItIKDC1ERESkFRhaiIiISCswtBAREZFWYGghIiIircDQQkRERFqBoYWIiIi0AkMLERERaQWGFiIiItIKDC1ERESkFRhaiIiISCswtBAREZFWYGghIiIircDQQkRERFqBoYWIiIi0AkMLERERaQWGFiIiItIKDC1ERESkFRhaiIiISCswtBAREZFWYGghIiIircDQQkRERFqBoYWIiIi0AkMLERERaQWGFiIiItIKDC1ERESkFRhaiIiISCswtBAREZFWYGghIiIircDQQkRERFqBoYWIiIi0AkMLERERaQW1hZaZM2fC3t4erq6u6mqCiIiIPiJqCy0eHh7YunWrulZPREREHxm1hRY7OztUqFBBXasnIiKij4xeaReQk1wuR3h4eKHLWFlZaaiaolFVLxEREZWMMhVaDA0Ny1woUUXb6iUiorKDX3yLh78eIiIiIq3A0EJERERaQW2hZfLkyRg0aBAeP36MTp06Yf/+/epqioiIiD4CahvTsnbtWnWtmoiIiD5CPD1EREREWoGhhYiIiLQCQwsRERFpBYYWIiIi0goMLURERKQVGFqIiIhIKzC0EBERkVZgaCEiIiKtwNBCREREWoGhhYiIiLQCQwsRERFpBYYWIiIi0goMLURERKQVGFqIiIhIKzC0EBERkVZgaCEiIiKtwNBCREREWoGhhYiIiLQCQwsRERFpBYYWIiIi0goMLURERKQVGFqIiIhIKzC0EBERkVZgaCEiIiKtwNBCREREWoGhhYiIiLQCQwsRERFpBYYWIiIi0goMLURERKQVGFqIiIhIK+iVdgFU9v3444/Yv38/ZDIZGjZsiGXLlmHkyJFISkoCAERHR8Pa2hqbNm2CEAJLlizB+fPnYWRkhOXLl6Np06YAACsrKzRs2BAAUL16dWzZsgUAcPXqVaxcuRKZmZkwMTHB8uXLUbt27dLZWCIiKrMYWqhQUVFRCAgIwNGjR2FkZISJEyfiyJEj+Pnnn6VlJkyYgG7dugEALly4gCdPnuDkyZO4c+cOFixYgP379wMAjIyMEBQUlK+NBQsWYNOmTahXrx52796NzZs3Y/ny5ZrZQCIi0ho8PUQqKRQKpKamIiMjA6mpqahatap0X2JiIq5du4bu3bsDAEJCQtCnTx/IZDK0bNkSb9++xevXr1W2kZiYKP2bc/1ERETZ2NNChbKwsMCoUaPQtWtXGBoaon379ujQoYN0/+nTp2Fvbw9TU1MAWT0z1apVk+6vVq0aoqKiULVqVcjlcnh4eEBPTw/e3t5S0FmyZAm8vb1haGgIU1NT7Nu3T7MbSUREWoE9LWry448/wsXFBa6urpg8eTLkcjmeP38OT09P9OjRA5MmTUJaWhoAIDIyEsOHD4ebmxuGDh2KV69eSes5dOgQHB0d4ejoiEOHDml8O+Lj4xESEoKQkBBcvHgRKSkpuU7xHD58GC4uLkVa19mzZxEYGIg1a9Zg6dKlePbsGYCsfeXv748LFy7Aw8MDy5Yte++6C9r/fn5+cHBwQO/evdG7d2+Eh4e/dzslYebMmbC3t4erq2uu23ft2gUnJye4uLhg5cqVAIC7d+9K9bu7u+PUqVMq13Ps2DG4uLigcePG+OOPP0qk5pcvX2Lo0KFwdnaGi4sLdu7cCQDYsGEDOnbsKNV4/vz5EmlPU5RtV1xcHEaOHAlHR0eMHDkS8fHxGq9t586dcHV1hYuLC3788UeNt/8xUSgU6NOnD8aOHVvapVAeDC1qkD0O5ODBgzh8+DAUCgWOHDmC1atXY8SIETh16hTMzMxw4MABAMCKFSvQp08fBAcHY9y4cVizZg2ArDfKjRs3Yt++fdi/fz82btyo8TfLK1euoGbNmjA3N4e+vj4cHR0RFhYGAIiJicEff/yBLl26SMtbWFjkCl2vXr2ChYWFdB8A1KpVC61bt8a9e/cQExOD+/fvo0WLFgAAZ2dnaf3vStn+B4Dp06cjKCgIQUFBsLKyeq92SoqHhwe2bt2a67Zr164hJCQEv/32G44cOYLRo0cDABo0aICDBw8iKCgIW7duxbx585CRkaF0PQDQsGFDbNiwAXZ2diVWs66uLvz8/HD06FHs3bsXP//8Mx4+fAgAGDFihLSPO3fuXGJtaoKy7fL394e9vT1OnjwJe3t7+Pv7a7SuBw8eYP/+/di/fz+CgoJw7tw5PH36VKM1fEwCAgJQr1690i6DCsDQoiZ5x4FUqVIF165dQ8+ePQEAffv2RUhICADg0aNHaNu2LQCgbdu20u2XLl1C+/btUbFiRVSoUAHt27fHxYsXNbodNWrUwJ07d5CSkgIhBK5evSq9mE+cOIEuXbrA0NBQWt7BwQG//vorhBD4/fffUb58eVStWhXx8fFSz1JMTAxu376N+vXrw8zMDAkJCXj8+DEA4PLlyyXyZlHYOJyyxs7ODhUqVMh12549e+Dt7Q0DAwMAQOXKlQEAxsbG0NPLOqsrl8shk8kKXQ8A1KtXD3Xr1i3RmqtWrSr9KszU1BR169ZFVFRUibZRGpRtV/ZYLQDo06cPTp8+rdG6Hj16BGtra+n429nZ4eTJkxqt4WPx6tUrnDt3Dv379y/tUqgADC1qkHMcSIcOHWBqaoqmTZvCzMxM+sDJHusBAI0bN5begE6dOoWkpCTExsbmGx9iYWGh8Q+GFi1aoGfPnujbty/c3NyQmZmJgQMHAgCOHj2a79RQ586dUatWLfTo0QNz587F/PnzAWS96fbr1w/u7u4YPnw4Pv/8c9SvXx96enpYvHgxfH194e7ujt9++w3Tp09/r5oL2v/Z43DWrVsHNzc3LF26VApRZdGTJ09w69YteHp6wsvLC3fv3pXuu3PnDlxcXODu7o6FCxdKz6nSEhERgfDwcKm3bPfu3XBzc8PMmTNL5TRKScm5XdHR0VLwrVKlCqKjozVaS8OGDREaGorY2FikpKTgwoULuXo0qeQsXboU06ZNg44OPx7LIg7EVYOc40DKly+PiRMnFtpDMn36dHz99dc4dOgQbG1tYWFhAV1dXQ1WXDhfX1/4+vrmu33Xrl35bpPJZFJQyalVq1YIDg4ucP09evRAjx493r/Q/1PQ/g8KCsLkyZNRpUoVpKenY+7cufD398f48eNLrN2SpFAoEB8fj3379uGPP/7ApEmTEBISAplMhhYtWuDIkSN49OgRZsyYgU6dOuXq7dKkpKQk+Pr6YtasWTA1NcXgwYMxbtw4yGQyfPvtt1i+fHmJjFHStLzblZNMJsvVw6UJ9erVw5gxYzB69GgYGxujcePG/FBVg7Nnz8Lc3BzNmjXD9evXS7scKgCf9WpQ0DiQ27dv4+3bt9L4g7xjPTZu3Ihff/0VX331FQDAzMws3/iQqKgo6THqpMjMVHsbRfUutSgbh1O1alXIZDIYGBjAw8OjxAalqoOFhQV69OgBmUwGa2tr6OjoIDY2Ntcy9erVg4mJCR48eFAqNaanp8PX1xdubm5wdHQEAHzyySfQ1dWFjo4OPD09y/Q+Vqag7apcubL00/3Xr1/D3Nxc43V5enoiMDAQu3fvRoUKFfDpp59qvIYP3e3bt3HmzBk4ODhg8uTJuHbtGqZOnVraZVEOau1puXDhApYsWYLMzEx4enrC29tbnc2VGTnHgRgZGeHq1ato1qwZ2rRpgxMnTsDFxQWHDh2Cg4MDgKwxHhUrVoSOjg78/f3Rr18/AECHDh2wdu1aqYv90qVLmDx5strr19XRwckrpfNBmJdju4bFfoyy/f/69WtUrVoVQgicPn0aDRo0UEPFJaN79+64fv062rZti8ePHyM9PR2VKlXC8+fPUb16dejp6SEyMhL//PMPLC0tNV6fEAKzZ89G3bp1MXLkSOn27H0MoMzv44Io267ssVre3t749ddfpYspalJ0dDQqV66MFy9e4OTJk7w0gBpMmTIFU6ZMAQBcv34d27dvx+rVq0u5KspJbaFFoVBg0aJF2LFjBywsLNC/f384ODigfv366mqyzMg5DkRPTw9WVlYYOHAgunTpgq+++grffPMNrKys4OnpCQC4ceMG1q5dC5lMBltbW+n0SsWKFTFu3DhpQJiPjw8qVqxYWpulNZTt/zFjxiA2NhZCCDRu3BgLFy4s7VIBAJMnT8aNGzcQGxuLTp06YcKECejXrx9mzZoFV1dX6OvrY/ny5ZDJZAgNDcUPP/wAPT096OjoYMGCBdK3/oLW4+npiVOnTuHrr79GTEwMxo4dCysrK2zbtu29ag4NDUVQUBAaNmyI3r17S+0fPnwY9+/fBwBYWlpi0aJF77dzNEzZdnl7e2PSpEk4cOAAatSogW+++UbjtU2YMAFxcXHQ09PD/PnzYWZmpvEaiEqbTAgh1LHisLAwbNy4UXpz/P777wGg0N+9h4eHF+lnqNrcC6AtuI+JiNSvqJ97lEVtY1rKwi9f1E2eoSjtEnIpa/WQcmVp3BBQ9uohIipImfr1kFwuL9JVSmtV0kAxRfDP32WjN0Idyso+LitXrSUiUge5XF7aJWgVtYWWd/nlS8uWLdVVDhEREWk5tZ0eat68OZ48eYLnz58jLS0NR44ckX4tQ0RERFRcautp0dPTw7x58zBmzBgoFAr069dP637+SERERGWH2n49RERERFSSeEVcIiIi0goMLURERKQVGFpKmIODA2JiYkq7DK1iY2NT2iV8VEryORoYGPjBXX+puCIiIuDq6prv9m+//RZXrlwp9LEbNmx476sTU8GUva/s2bMHv/76a6GPDQwM1LqrOX8sytR1WsoqIQSEEJxVlT5KCoVC6azjhw4dQoMGDTQykae2mThxYmmX8MEpiffiwYMHl2BFpGkfzafw6tWrsXv3bunvnN9wtm7din79+sHNzQ3r168HkPXtqWfPnpg+fTpcXV2xadMmLFmyRHr8vn37sHTp0kLb3LFjB1xdXeHq6ooff/xRaisgIAAAsHTpUgwbNgwAcPXqVWmiro+VEAIrVqyAq6sr3NzccPToUQDAwoULERISAiBr/qWZM2cCAA4cOIB169aVWr2aFBERAScnJ/j5+aFnz56YMmUKrly5gkGDBsHR0RF3795FXFwcxo0bBzc3NwwYMECaAyg2NhajRo2Ci4sLZs+ejZxj74OCgtC/f3/07t0b8+bNg0KRdVVlGxsbLF++HO7u7tKUHP369YOrqyvmzp0LIQSOHz+OP//8E1OnTkXv3r2RmpqKP//8E15eXvDw8MDo0aOlmZE/dAqFAnPmzIGLiwtGjRqF1NRU+Pn54fjx4wCA8+fPw8nJCR4eHli8eHGu6UwePnyIoUOHolu3btJ7w4dMk+/F69atg7u7OwYMGIA3b97ka+/u3btwc3ND7969pfeebK9fv8bo0aPh6OiIlStXluxOoHf20YQWZ2dnHDt2TPr72LFjcHZ2xqVLl/D06VMcOHAAQUFB+Ouvv3Dz5k0AwNOnTzFkyBAcOXIEI0eOxNmzZ5Geng4gq/swezbmgvz5558IDAzEvn37sHfvXuzfvx/37t2Dra0tbt26JS2TnJyM9PR0hIaGws7OTo17oOw7efIk7t+/j6CgIOzYsQMrV67E69evc+2zqKgoPHr0CEDW5Ha2tralWbJGPXv2DCNHjsSxY8fw+PFjBAcHY8+ePZg+fTq2bNmCDRs2oEmTJggODsZXX32FGTNmAAC+++47tGrVCkeOHEGPHj3w4sULAMCjR49w7Ngx7NmzB0FBQdDR0UFwcDAAIDk5GdbW1vjtt99ga2sLLy8vHDx4EIcPH0ZqairOnj0LJycnNGvWDKtXr0ZQUBB0dXWxePFirF+/Xnp9fCyh8unTp/jss89w5MgRlC9fHidOnJDuk8vlmDdvHn744QcEBgbmOzX3+PFjbNu2Dfv378d3330nvcd8qDT1XpycnIwWLVpIz+GCZsWeNWsWFi1aJD1/cwoPD8c333yD4OBgHDt2DC9fvizJ3UDv6KM5PdSkSRNER0cjKioKsbGxMDMzQ/Xq1REQEIDLly+jT58+ALKe6E+ePEH16tVRo0YN6Sq95cqVQ9u2bXHu3DnUrVsX6enpaNSokdL2QkND0b17d5iYmAAAevTogVu3bmHw4MH466+/kJiYCAMDAzRp0gR//vknbt26hTlz5qh7N5RpoaGhcHFxga6uLj755BPY2dnhjz/+gK2tLXbu3ImHDx+ifv36iI+Px+vXrxEWFobZs2eXdtkaU7NmTek5V79+fdjb20Mmk6FRo0aIjIzEixcvsGHDBgCAvb094uLikJiYiJs3b2Ljxo0AgC5duqBChQoAsnr3/vzzT2kW8dTUVFSuXBkAoKuri549e0ptX79+HVu3bkVqairi4uLQoEGDfBeLfPz4MR48eICRI0cCADIzM1GlShU17pGyo2bNmtKkd02bNkVkZKR03z///INatWqhVq1aAAAXF5dcH6CdO3eGgYEBzM3NYW5ujujo6Fzztn1oNPVerK+vj65duwIAmjVrhsuXL+e6/+3bt0hKSpLGvri6uuLcuXPS/fb29ihfvjwAoF69eoiMjET16tVLeG9QcX00oQUAnJyccOLECbx58wbOzs4Ask5JeHt7Y9CgQbmWjYiIkAJHNk9PT2zZsgV169aFh4fHO9Wgr6+PmjVrIjAwEDY2NmjUqBGuX7+OZ8+eoV69eu+2YR84CwsLvH37FhcvXoStrS3i4+Nx7NgxmJiYwNTUtLTL0xgDAwPp/zo6OtLfMpkMCoUCenrFezkLIdC3b98CT0saGhpK3zzlcjkWLlyIgwcPonr16tiwYUOB86UIIdCgQQPs3bu3WHV8CHIeG11d3WLNJ5P3sRkZGSVaW1mkifdifX19yGQyAFmvl+xTn0WV97gU9/GkHh/N6SEgq1vy6NGjOHHiBJycnAAAHTp0wMGDB5GUlAQg6/RDdHR0gY9v0aIFXr16hcOHDxf4a4GcbG1tcfr0aaSkpCA5ORmnT5+WTmXY2tpi+/btsLOzg62tLX755RdYWVlJL7CPla2tLY4dOwaFQoGYmBjcunUL1tbWALLmpdq5c6e0z7Zv3/5RnRoqCltbW/z2228AsnpGKlWqBFNTU9jZ2Umnfc6fP4/4+HgAWd8kT5w4IT3f4+LicvUQZMv+AK5UqRKSkpJynfooV66c9NqpU6cOYmJiEBYWBgBIT0/H33//raat1R516tTB8+fPERERAQDSWK2PmSbfi5UxMzNDuXLlcOfOHQA8Ltrio+ppadCgAZKSklC1alVUrVoVQNYL5dGjR1K6NzExwapVq5SOTu/VqxfCw8OlLnZlmjZtCg8PD3h6egIA+vfvjyZNmgDI+nDZsmULWrZsCRMTExgaGvIDGFmn0MLCwtC7d2/IZDJMmzZNOr3w3//+F5cuXULt2rVRo0YNxMfHc5/lMX78eMyaNQtubm4wNjbG8uXLAWQNXp4yZQpcXFxgY2ODGjVqAMg6xTRp0iSMGjUKmZmZ0NfXx7x582BpaZlrvWZmZvD09ISrqys++eQTNG/eXLqvb9++mD9/PoyMjLB3716sX78eixcvRkJCAhQKBYYPH/7RT99hZGSE+fPnY8yYMTAxMUGzZs1Ku6RSp8n34sIsWbIEc+bMgY6ODuzs7D6qnlttxcv4F9PYsWMxYsQI2Nvbl3YpRKQlkpKSUK5cOQghsHDhQnz66acYMWJEaZel1UrivTj7uACAv78/Xr9+/dGPLSzrPqqelvfx9u1beHp6olGjRgwsRFQs+/fvx6FDh5Ceng4rKysMHDiwtEvSWiX5Xnz+/Hl8//33UCgUqFGjhtQ7SWUXe1qIiIhIK3xUA3GJiIhIezG0EBERkVZgaCEiIiKtwNBCShVl9uXZs2fj4cOHAIAtW7bkui/vRaLetY13lbeeD1VZ3M7Tp09LzwugaDMeF8W7zL77sc+8Hh4ejvPnz5d2GUQlgqGF3suSJUtQv359AMD333+f675ffvmlNEqS5K1H3UrySqbFWZey7RRCIDMzs6RKKpa8oWXixIlo165dqdTysWNooQ8Jf/JMKl2/fh0bN25EpUqV8ODBAzRt2hSrV6+GTCbD0KFDMX36dJw4cQKpqano3bs36tevjzVr1sDGxgZhYWFISkrCuHHj8PbtW2RkZGDixIno3r17oW3++uuv2LZtmzS3zqpVq+Dn54cuXbpIV9DMXv/r16/x1VdfITExEQqFAgsWLMC5c+fy1bNjxw4cPHgQQNbF/kaMGIGIiAiMGTMGLVu2RFhYGJo1a4Z+/fph/fr1iImJwerVq2FtbY3k5GR8/fXX+Pvvv5GRkYHx48eje/fuCAwMxMmTJ5GcnIzMzEysXbs2Xy15L4Ln4OAAJycnXLx4EYaGhlizZg1q164NPz8/GBgYIDw8HK1atcJnn32GhQsXIjY2FkZGRvj666/zTfWwevXqXNv51VdfYfTo0WjRogX++usv+Pv7w9/fH3/88Qfkcjl69uwJX19fqY4+ffrg7NmzyMjIwDfffIN69erhxo0b0iy6MpkMP/30E2QymdJjmPdYDR48GGfOnMGNGzewefNmbNiwAZs2bZKO3dWrV7FixQooFAo0a9YMCxcuhIGBgdJ68nr58iWGDh2KqKgouLu7Y/z48QCAcePG4dWrV5DL5Rg2bFiBPytWtoyNjQ2GDRuGs2fPwsjICJs2bcInn3yCN2/eYP78+Xj+/DkAYMGCBWjVqhWCgoKwa9cupKeno0WLFpg/f36+Cfc2btyIs2fPQi6Xw8bGBosWLZJeM1ZWVrh16xZSUlKwYsUK+Pv748GDB+jVqxe++uorAFD6fP3iiy9w+PBhAMC2bduQnJyMCRMmYOjQobC2tsb169eRkJCAJUuWwNraGuvXr0dqaipCQ0MxduxY6bL5RFpJECnRsmVLIYQQ165dE61atRIvX74UCoVCDBgwQNy8eVMIIYSXl5e4e/duruXzPj49PV0kJCQIIYSIjo4W3bt3F5mZmQU+RgghHjx4IBwdHUV0dLQQQojY2FghhBAzZswQx44dy7f+bdu2iU2bNgkhhMjIyJDayrnuP/74Q7i6uoqkpCSRmJgonJ2dxV9//SWeP38urKysxP3794VCoRB9+/YVfn5+IjMzU5w6dUp8+eWXQggh1qxZI3799VchhBDx8fHC0dFRJCUliYMHD4qOHTtKNSqrJaeuXbtKyxw6dEh4e3tL2+ft7S0yMjKEEEIMGzZMPH78WAghxO+//y6GDh2ab115t/P58+eiUaNGIiwsTLotu7aMjAzh5eUlwsPDpToCAgKEEEL89NNPYtasWUIIIcaOHStu3bolhBAiMTFRpKenKz2GRT1W2X+npqaKTp06iX/++UcIIcS0adPEjh07Cq0np4MHD4r27duLmJgYkZKSIlxcXKTnX3bb2bfHxMRI681bX95lGjZsKEJCQoQQQqxYsUJ89913QgghJk6cKNWXkZEh3r59Kx4+fCjGjh0r0tLShBBCzJ8/Xxw6dChfrdltCSHE1KlTpfV7eXmJlStXCiGE+PHHH0X79u1FVFSUkMvlomPHjiImJqbQ56uLi4u03q1bt4r169dL6122bJkQQohz586J4cOHS/ts4cKF+eoj0kbsaaEisba2lmaebdy4MSIjI4t8GX0hBNauXYubN29CR0cHUVFRePPmjdIZgK9duwYnJyeYm5sDACpWrFjo+ps3b45Zs2YhIyMD3bt3l2bbzUnZrNsODg4qZ08GgEuXLuHMmTPYvn07gKz5eLKnqm/fvr1UY1FqASDNl+Li4oJly5ZJtzs5OUFXVxdJSUkICwvDxIkTpfvS0tIK3Q/Zcs6ICwDHjh3Dvn37kJGRgX///RePHj1C48aNAQCOjo4AsmbBPXXqFACgVatWWL58Odzc3ODo6Ihy5cohPT29wGNY3GP1+PFj1KxZE3Xq1AGQNQ3A7t27pavDFlRPXu3atUOlSpUAZB3H0NBQNG/eHLt27ZIe8/LlSzx9+lRaLpuyZZTNCHzt2jWsXLkSQNakeeXLl0dQUJDS2bFzKmxm7Ox/GzZsiAYNGkiXsq9VqxZevXpV6PO1MD169ACQf6Zpog8FQwsVyfvMeBocHIyYmBgEBgZCX18fDg4OxZoFN2e72WM0MjMzkZ6eDgCws7PDTz/9hPPnz8PPzw8jR46UprcvClWzJ2dbv3496tatm+uxd+7cgbGxsfT3+9aSvS4hBMzMzBAUFJTrfoVCIc1q6+DgkCvUZMs5I+7z58+xfft2HDhwABUqVICfn1+ufa+vry9td/a2ent7o3Pnzjh//jwGDx6MrVu34s6dOyVyDFUpqJ688k4sKpPJcP36dVy5cgV79+6FsbExhg4dmq++wpYpzozAopDZsbOpmhk7+zmW8/mW/Xdh45n09PRyjVPKu40518tZielDxIG4VGL09PSkIJFTQkICKleuDH19fVy7dk3lN8C2bdvi+PHjiI2NBZA1+zAAWFpa4q+//gIAnDlzRmorMjISn3zyCQYMGABPT09pmZz1FDbrdlF06NABP/30E8T/XUD63r17BS6nrJa8jh07BiBrZtmCfkFlamqKmjVrSssJIXD//n3o6uoiKCgIQUFBUmBRtt+BrLlVjI2NUb58ebx58wYXLlxQua3Pnj1Do0aN4O3tjebNm+Px48dKj6GyY5Vz9uec6tSpg8jISDx9+hQAEBQUBDs7O5U15XT58mXExcUhNTUVp0+fRqtWrZCQkIAKFSrA2NgYjx49wu+//57vcUVZJi97e3v8/PPPALICY0JCQpFmxy5sZuyiUPZ8rVy5MqKjoxEbG4u0tDScO3dO5bqUHQsibcSeFioxAwYMgLu7O5o0aYI1a9ZIt7u5ueHLL7+Em5sbmjVrlq+3Iq8GDRrgiy++wNChQ6Gjo4MmTZpg+fLlGDBgAMaNGwd3d3d07NhR6lG4ceMGtm3bBj09PZiYmGDFihUF1lPQrNsRERFF2rZx48Zh6dKlcHd3R2ZmJmrWrFngr3aU1ZJXfHw83NzcYGBggLVr1xa4zKpVq7BgwQJs3rwZGRkZcHZ2lk7r5JRzO7MHcWZr3LgxmjRpgl69eqFatWpo1aqVym3duXMnrl+/DplMhgYNGqBTp05ITEws8BgqO1bOzs6YO3cudu3ahfXr10vrNjQ0xLJlyzBx4kRpIO7gwYNV1pSTtbU1JkyYIA3Ebd68ORo1aoRffvkFvXr1Qp06dXKdHsvWqVMnlcvkNXv2bMydOxcHDx6Ejo4OFixYABsbG5WzYxc2M3ZRFDZLvI+PDzw9PWFhYaHytQQAbdq0gb+/P3r37s2BuKT1OPcQkYY5ODjgwIED0jgQIiIqGp4eIiIiIq3AnhYiIiLSCuxpISIiIq3A0EJERERagaGFiIiItAJDCxEREWkFhhYiIiLSCgwtREREpBX+H+a6Zn4yhBlvAAAAAElFTkSuQmCC\n","text/plain":["<Figure size 576x432 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["df['oldbalanceOrg_amt'] = pd.cut(df['oldbalanceOrg'], 5, labels=['very low', 'low', 'moderate', 'high', 'very high'])\n","\n","ax = sns.countplot(x='oldbalanceOrg_amt', data=df, hue='isFraud', palette='PuBu')\n","for container in ax.containers:\n","    ax.bar_label(container)\n","plt.title('Count plot of initial customers pre-transaction balance amount')\n","plt.legend(bbox_to_anchor=(1.05,1), loc='upper left')\n","plt.ylabel('Number of transactions')\n","plt.xlabel('Initial customers pre-transaction balance amount')"]},{"cell_type":"markdown","id":"fda279ca","metadata":{"papermill":{"duration":0.02132,"end_time":"2023-04-24T17:22:12.60043","exception":false,"start_time":"2023-04-24T17:22:12.57911","status":"completed"},"tags":[]},"source":["* Initial customers with **very low pre-transaction balances** has the highest number of fraudulent transactions. \n","* This means that initial customers with very low pre-transaction balances may be more likely to fall for a fraudulent transaction."]},{"cell_type":"code","execution_count":23,"id":"2832321c","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:22:12.647134Z","iopub.status.busy":"2023-04-24T17:22:12.646201Z","iopub.status.idle":"2023-04-24T17:22:13.029574Z","shell.execute_reply":"2023-04-24T17:22:13.028307Z"},"papermill":{"duration":0.409601,"end_time":"2023-04-24T17:22:13.032607","exception":false,"start_time":"2023-04-24T17:22:12.623006","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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\n","text/plain":["<Figure size 576x432 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["df2 = df1['nameOrig'].value_counts().head(10)\n","ax = df2.plot(kind='bar', color='lightsteelblue')\n","for container in ax.containers:\n","    ax.bar_label(container)\n","plt.title('Top 10 initial customers fall for a fraudulent transactions')\n","plt.ylabel('Number of fraudulent transactions')\n","plt.xlabel('Initial customers')\n","plt.grid(axis='x')\n","\n","del ax, df2"]},{"cell_type":"markdown","id":"4c80af7f","metadata":{"papermill":{"duration":0.021675,"end_time":"2023-04-24T17:22:13.077805","exception":false,"start_time":"2023-04-24T17:22:13.05613","status":"completed"},"tags":[]},"source":["* Initial customers are scammed of **at most one** for a fraudulent transaction."]},{"cell_type":"code","execution_count":24,"id":"0e896f9d","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:22:13.125123Z","iopub.status.busy":"2023-04-24T17:22:13.123813Z","iopub.status.idle":"2023-04-24T17:22:13.536525Z","shell.execute_reply":"2023-04-24T17:22:13.535286Z"},"papermill":{"duration":0.439736,"end_time":"2023-04-24T17:22:13.539571","exception":false,"start_time":"2023-04-24T17:22:13.099835","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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\n","text/plain":["<Figure size 576x432 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["df2 = df1['nameDest'].value_counts().head(10)\n","ax = df2.plot(kind='bar', color='lightsteelblue')\n","for container in ax.containers:\n","    ax.bar_label(container)\n","plt.title('Top 10 recipients highly involved in fraudulent transactions')\n","plt.ylabel('Number of fraudulent transactions')\n","plt.xlabel('Recipients')\n","plt.grid(axis='x')\n","\n","del ax, df2"]},{"cell_type":"markdown","id":"2c04ad32","metadata":{"papermill":{"duration":0.02288,"end_time":"2023-04-24T17:22:13.586021","exception":false,"start_time":"2023-04-24T17:22:13.563141","status":"completed"},"tags":[]},"source":["* Suspicious recipients only have a **maximum of 2** involved fraudulent transactions."]},{"cell_type":"code","execution_count":25,"id":"d229ca3c","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:22:13.634663Z","iopub.status.busy":"2023-04-24T17:22:13.634203Z","iopub.status.idle":"2023-04-24T17:22:14.838495Z","shell.execute_reply":"2023-04-24T17:22:14.83744Z"},"papermill":{"duration":1.232488,"end_time":"2023-04-24T17:22:14.841343","exception":false,"start_time":"2023-04-24T17:22:13.608855","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Text(0.5, 0, 'Recipient pre-transaction balance amount')"]},"execution_count":25,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["<Figure size 576x432 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["df['oldbalanceDest_amt'] = pd.cut(df['oldbalanceDest'], 5, labels=['very low', 'low', 'moderate', 'high', 'very high'])\n","\n","ax = sns.countplot(x='oldbalanceDest_amt', data=df, hue='isFraud', palette='PuBu')\n","for container in ax.containers:\n","    ax.bar_label(container)\n","plt.title('Count plot of recipients pre-transaction balance amount')\n","plt.legend(bbox_to_anchor=(1.05,1), loc='upper left')\n","plt.ylabel('Number of transactions')\n","plt.xlabel('Recipient pre-transaction balance amount')"]},{"cell_type":"markdown","id":"80d8b190","metadata":{"papermill":{"duration":0.020901,"end_time":"2023-04-24T17:22:14.886127","exception":false,"start_time":"2023-04-24T17:22:14.865226","status":"completed"},"tags":[]},"source":["* Recipients with **very low pre-transaction balances** has the highest number of fraudulent transactions. \n","* This implies that recipients with very low pre-transaction balances may be more susceptible to fraudulent transactions."]},{"cell_type":"markdown","id":"b5e43943","metadata":{"papermill":{"duration":0.020065,"end_time":"2023-04-24T17:22:14.926639","exception":false,"start_time":"2023-04-24T17:22:14.906574","status":"completed"},"tags":[]},"source":["<h2>\n","    <div style='background:steelblue'> \n","    <font color='white'>\n","    <b>&nbsp; Multivariate data visualization</b>\n","    </font>\n","    </div>\n","</h2>"]},{"cell_type":"code","execution_count":26,"id":"eab46213","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:22:14.969621Z","iopub.status.busy":"2023-04-24T17:22:14.96921Z","iopub.status.idle":"2023-04-24T17:22:24.970896Z","shell.execute_reply":"2023-04-24T17:22:24.969755Z"},"papermill":{"duration":10.026668,"end_time":"2023-04-24T17:22:24.973738","exception":false,"start_time":"2023-04-24T17:22:14.94707","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Text(0.5, 1.0, 'Correlation')"]},"execution_count":26,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["<Figure size 576x432 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["corr_matrix = df.corr('spearman')\n","sns.heatmap(corr_matrix, cbar=True, annot=True, mask = np.triu(np.ones_like(corr_matrix, dtype = bool)), fmt='.3f', cmap='PuBu')\n","plt.title('Correlation')"]},{"cell_type":"markdown","id":"4e09efec","metadata":{"papermill":{"duration":0.02136,"end_time":"2023-04-24T17:22:25.020366","exception":false,"start_time":"2023-04-24T17:22:24.999006","status":"completed"},"tags":[]},"source":["* oldbalanceOrg and newbalanceOrig has **strong positive** relationship. \n","* oldbalanceDest and newbalanceDest has **strong positive** relationship.\n","* oldbalanceOrg and amount has **weak positive** relationship.\n","* newbalanceOrig and amount has **moderate positive** relationship."]},{"cell_type":"markdown","id":"0a3a3449","metadata":{"papermill":{"duration":0.020258,"end_time":"2023-04-24T17:22:25.062138","exception":false,"start_time":"2023-04-24T17:22:25.04188","status":"completed"},"tags":[]},"source":["# <div style='background:darkblue'> <font color='white'> <b>&nbsp; Model Building</b> </font> </div>"]},{"cell_type":"code","execution_count":27,"id":"3a121400","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:22:25.107203Z","iopub.status.busy":"2023-04-24T17:22:25.1061Z","iopub.status.idle":"2023-04-24T17:22:25.130545Z","shell.execute_reply":"2023-04-24T17:22:25.12906Z"},"papermill":{"duration":0.050564,"end_time":"2023-04-24T17:22:25.133383","exception":false,"start_time":"2023-04-24T17:22:25.082819","status":"completed"},"tags":[]},"outputs":[],"source":["# Data preprocessing\n","df['type'] = df['type'].map({'PAYMENT':0, 'CASH_IN':1, 'DEBIT':2, 'CASH_OUT':3, 'TRANSFER':4})"]},{"cell_type":"markdown","id":"13521573","metadata":{"papermill":{"duration":0.04206,"end_time":"2023-04-24T17:22:25.216849","exception":false,"start_time":"2023-04-24T17:22:25.174789","status":"completed"},"tags":[]},"source":["Due to the large dataset, Random Forest and Logistic Regression with balanced class weight are used to identify online payment fraud."]},{"cell_type":"code","execution_count":28,"id":"984a8ede","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:22:25.301674Z","iopub.status.busy":"2023-04-24T17:22:25.301268Z","iopub.status.idle":"2023-04-24T17:22:32.255603Z","shell.execute_reply":"2023-04-24T17:22:32.25431Z"},"papermill":{"duration":7.001041,"end_time":"2023-04-24T17:22:32.259023","exception":false,"start_time":"2023-04-24T17:22:25.257982","status":"completed"},"tags":[]},"outputs":[],"source":["from sklearn.model_selection import StratifiedKFold\n","from sklearn.preprocessing import StandardScaler\n","from sklearn.ensemble import RandomForestClassifier\n","from sklearn.linear_model import LogisticRegression\n","from imblearn.under_sampling import RandomUnderSampler\n","from sklearn.model_selection import cross_val_score\n","from sklearn.metrics import classification_report, roc_curve, auc, ConfusionMatrixDisplay\n","\n","\n","seed = 42\n","np.random.seed(seed)\n","random.seed(seed)\n","tf.random.set_seed(seed)\n","\n","\n","X = df.copy()\n","X.drop(['nameOrig', 'newbalanceOrig', 'nameDest', 'newbalanceDest', 'quantity', 'oldbalanceOrg_amt', 'oldbalanceDest_amt'], axis=1, inplace=True)\n","y = X.pop('isFraud')\n","\n","\n","# Stratified train-test split\n","skfold = StratifiedKFold(n_splits=5, shuffle=True, random_state=seed)\n","for train_idx, test_idx in skfold.split(X,y):\n","    X_train, X_test = X.iloc[train_idx], X.iloc[test_idx]\n","    y_train, y_test = y.iloc[train_idx], y.iloc[test_idx]\n","\n","\n","sc = StandardScaler()\n","scaled_train = sc.fit_transform(X_train)\n","scaled_test = sc.transform(X_test)\n","X_train = pd.DataFrame(scaled_train, index=X_train.index, columns=X_train.columns)\n","X_test = pd.DataFrame(scaled_test, index=X_test.index, columns=X_test.columns)\n","\n","\n","X_train, y_train = RandomUnderSampler(sampling_strategy='majority').fit_resample(X_train, y_train)"]},{"cell_type":"code","execution_count":29,"id":"3c01359b","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:22:32.303026Z","iopub.status.busy":"2023-04-24T17:22:32.301976Z","iopub.status.idle":"2023-04-24T17:22:32.310268Z","shell.execute_reply":"2023-04-24T17:22:32.308784Z"},"papermill":{"duration":0.032807,"end_time":"2023-04-24T17:22:32.312775","exception":false,"start_time":"2023-04-24T17:22:32.279968","status":"completed"},"tags":[]},"outputs":[],"source":["def model_comparison_evaluate(classifiers, X, y):\n","    print('K-Fold Cross-Validation:\\n')\n","    for name, model in classifiers.items():\n","        print('{}:'.format(name))\n","        \n","        scoring = ['accuracy', 'precision', 'recall', 'f1', 'roc_auc']\n","        \n","        for score in scoring:\n","            scores = cross_val_score(model, X, y, scoring=score, cv=skfold, n_jobs=-1)\n","            print('Mean {} score: {:.3f} ({:.3f})'.format(score, scores.mean(), scores.std()))\n","            \n","        print('\\n')"]},{"cell_type":"code","execution_count":30,"id":"2c26e90b","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:22:32.356318Z","iopub.status.busy":"2023-04-24T17:22:32.355852Z","iopub.status.idle":"2023-04-24T17:22:32.361824Z","shell.execute_reply":"2023-04-24T17:22:32.36068Z"},"papermill":{"duration":0.030735,"end_time":"2023-04-24T17:22:32.364411","exception":false,"start_time":"2023-04-24T17:22:32.333676","status":"completed"},"tags":[]},"outputs":[],"source":["classifiers = { 'Random Forest Classifier':RandomForestClassifier(class_weight='balanced', random_state=seed),\n","                'Logistic Regression': LogisticRegression(class_weight='balanced', random_state=seed)\n","              }"]},{"cell_type":"code","execution_count":31,"id":"cf5cc10a","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:22:32.407812Z","iopub.status.busy":"2023-04-24T17:22:32.40738Z","iopub.status.idle":"2023-04-24T17:22:49.242288Z","shell.execute_reply":"2023-04-24T17:22:49.240546Z"},"papermill":{"duration":16.8597,"end_time":"2023-04-24T17:22:49.245021","exception":false,"start_time":"2023-04-24T17:22:32.385321","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["K-Fold Cross-Validation:\n","\n","Random Forest Classifier:\n","Mean accuracy score: 0.985 (0.003)\n","Mean precision score: 0.975 (0.006)\n","Mean recall score: 0.996 (0.002)\n","Mean f1 score: 0.985 (0.003)\n","Mean roc_auc score: 0.998 (0.000)\n","\n","\n","Logistic Regression:\n","Mean accuracy score: 0.848 (0.007)\n","Mean precision score: 0.843 (0.008)\n","Mean recall score: 0.856 (0.005)\n","Mean f1 score: 0.849 (0.006)\n","Mean roc_auc score: 0.927 (0.004)\n","\n","\n"]}],"source":["model_comparison_evaluate(classifiers, X_train, y_train)"]},{"cell_type":"code","execution_count":32,"id":"4f1149c8","metadata":{"execution":{"iopub.execute_input":"2023-04-24T17:22:49.291349Z","iopub.status.busy":"2023-04-24T17:22:49.289992Z","iopub.status.idle":"2023-04-24T17:23:12.750962Z","shell.execute_reply":"2023-04-24T17:23:12.749387Z"},"papermill":{"duration":23.487091,"end_time":"2023-04-24T17:23:12.753861","exception":false,"start_time":"2023-04-24T17:22:49.26677","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Random Forest Classifier:\n","               precision    recall  f1-score   support\n","\n","Non-Fraud [0]       0.98      1.00      0.99   1239159\n","    Fraud [1]       1.00      0.05      0.09     33365\n","\n","     accuracy                           0.98   1272524\n","    macro avg       0.99      0.52      0.54   1272524\n"," weighted avg       0.98      0.98      0.96   1272524\n"," \n","\n"]},{"data":{"text/plain":["Text(0.5, 0, 'False Positive Rate')"]},"execution_count":32,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["<Figure size 1440x360 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["model = RandomForestClassifier(class_weight='balanced', random_state=seed)\n","model.fit(X_train, y_train)\n","y_pred = model.predict(X_test)\n","y_pred_score = model.predict_proba(X_test)[:,1]\n","print('Random Forest Classifier:')\n","print(classification_report(y_pred, y_test, labels=[0,1], target_names=['Non-Fraud [0]', 'Fraud [1]']), '\\n')\n","\n","\n","\n","fig, ax = plt.subplots(1, 2, figsize=(20,5))\n","ax[0].set_title('Confusion Matrix of Random Forest Model:')\n","ConfusionMatrixDisplay.from_predictions(y_test, y_pred, colorbar=False, values_format='', cmap='crest', ax=ax[0])\n","ax[0].grid(False)\n","\n","\n","\n","fpr, tpr, thresholds = roc_curve(y_test, y_pred_score)\n","roc_auc = auc(fpr, tpr)                       \n","ax[1].set_title('ROC Curve - Random Forest Classifier')\n","ax[1].plot(fpr, tpr, label = 'AUC = %0.3f' % roc_auc, c='steelblue')\n","ax[1].plot([0,1],[0,1],'--', c='lightsteelblue')\n","ax[1].legend(loc='lower right')\n","ax[1].set_ylabel('True Positive Rate')\n","ax[1].set_xlabel('False Positive Rate')"]},{"cell_type":"markdown","id":"29dd0c3d","metadata":{"papermill":{"duration":0.022138,"end_time":"2023-04-24T17:23:12.798815","exception":false,"start_time":"2023-04-24T17:23:12.776677","status":"completed"},"tags":[]},"source":["* From the confusion matrix, 1,239,155 were correctly classified as non-fraudulent payments, and 31,726 people were misclassified as non-fraudulent payments.\n","* According to the confusion matrix, 1,639 payments were incorrectly labelled as fraud while 4 payments were correctly identified as fraud."]},{"cell_type":"markdown","id":"13de97e5","metadata":{"papermill":{"duration":0.02282,"end_time":"2023-04-24T17:23:12.844231","exception":false,"start_time":"2023-04-24T17:23:12.821411","status":"completed"},"tags":[]},"source":["# <div style='background:darkblue'>  <font color='white'> <b>&nbsp; Conclusion</b> </font> </div>\n","\n","* Random Forest obtains the highest score of all using K-fold cross-validation.\n","* The best performing model is **Random Forest** for identifying fraudulent and non-fraudulent payments, as the AUC is 0.999, which is close to 1. This means it has a good separability measure, and the model has an 99.9% chance of being able to distinguish between positive and negative classes.."]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.7.12"},"papermill":{"default_parameters":{},"duration":275.002595,"end_time":"2023-04-24T17:23:15.592125","environment_variables":{},"exception":null,"input_path":"__notebook__.ipynb","output_path":"__notebook__.ipynb","parameters":{},"start_time":"2023-04-24T17:18:40.58953","version":"2.3.4"}},"nbformat":4,"nbformat_minor":5}