sklearn的train_test_split()各函数参数含义解释(非常全)

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sklearn之train_test_split()函数各参数含义(非常全)

在机器学习中,我们通常将原始数据按照比例分割为“测试集”和“训练集”,





从 sklearn.model_selection 中调用train_test_split 函数




简单用法如下:




X_train,X_test, y_train, y_test =sklearn.model_selection.train_test_split(train_data,train_target,test_size=0.4, random_state=0,stratify=y_train)







# train_data:所要划分的样本特征集






# train_target:




所要划分的样本结果