开发网格搜索+交叉验证方法用于lr模型在某金融数据集上的应用

    import numpy as np
    import pandas as pd
    import matplotlib.pyplot as plt
    from sklearn.model_selection import train_test_split
    from sklearn.metrics import accuracy_score,precision_score,recall_score,f1_score,roc_auc_score,roc_curve,auc
    from sklearn.linear_model import LogisticRegression
    from sklearn.model_selection import GridSearchCV
    
    
      
      
      
      
      
      
      
    

    data=pd.read_csv('./data.csv',index_col=0,encoding='gbk')
    
    
      
    

    #单独提取出y列标签，和其余的88列标记为x
    y=da