1. print("data split:")
2. if kfold_flag:   #T1、采用K折交叉验证训练
3.     kf = KFold(n_splits=2, shuffle=False)  # K折交叉验证
4. for train_index, test_index in kf.split(X_train):
5.         x_train_, y_train_ = X_train[train_index], y_train[train_index]
6.         x_test_, y_test_ = X_train[test_index], y_train[test_index]
7.         ModelC = ModelC_Train(XGBC_Best, x_train_,y_train_, x_test_,y_test_)
8. else:            #T2、采用K折交叉训练
9. # train_test_split
10.     x_train_, x_test_, y_train_, y_test_ = train_test_split(X_train,  y_train, test_size=0.3, random_state=33)
11.     ModelC = ModelC_Train(XGBC_Best, x_train_, x_test_, y_train_, y_test_)