TypeError: __init__() got multiple values for argument 'shuffle'

以下银行卡诈骗项目中的一段代码：

from sklearn.cross_validation import KFold
def printing_Kfold_scores(x_train_data,y_train_data):
     fold =KFold(len(y_train_data),5,shuffle=False) 
     for iteration, indices in enumerate(fold,start=1):
         lr = LogisticRegression(C = c_param,penalty = 'l1')   
         lr.fit(x_train_data.iloc[indices[0],:],y_train_data.iloc[indices[0],:].values.ravel())
         y_pred_undersample =lr.predict(x_train_data.iloc[indices[1],:].values)
         recall_acc =recall_score(y_train_data.iloc[indices[1],:].values,y_pred_undersample)
         recall_accs.append(recall_acc)

以上这段代码本身是没有问题的，但由于库版本的原因，有的人在运行这段代码后，出现以下错误：

ModuleNotFoundError: No module named 'sklearn.cross_validation'

为此他将from sklearn.cross_validation import KFold改为from sklearn.model_selection import KFold，再