基于信用卡数据集构建信用评分模型

    import pandas as pd
    import numpy as np
    from sklearn.linear_model import LogisticRegression
    from sklearn.model_selection import train_test_split
    from sklearn import metrics
    import matplotlib.pyplot as plt
    import matplotlib
    import seaborn as sns
    plt.rcParams['font.sans-serif']=['SimHei']
    plt.rcParams['axes.unicode_minus']=False
    pd.options.display.max_columns = None
    
    
      
      
      
      
      
      
      
      
      
      
      
    

    # 拆分列
    def split_column(df, y="y"):
    try:
        X = df.drop(y, axis=1)