逻辑回归与信用卡欺诈检测研究

    import pandas as pd
    import matplotlib.pyplot as plt
    import numpy as np
    %matplotlib inline
    
    data = pd.read_csv('creditcard.csv')
    # print(data.head())
    
    count_classes = pd.value_counts(data['Class'], sort=True).sort_index()
    count_classes.plot(kind = 'bar')
    plt.title('Fraud class histogram')
    plt.xlabel('Class')
    plt.ylabel('Frequency')