下面的一段python程序是对iris数据集进行训练集合测试集的拆分 已知该数据集中样本的个数为150个
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下面的一段python程序是对iris数据集进行训练集合测试集的拆分，已知该数据集中样本的个数为150个，特征为4个。则下面的程序执行完毕后，print语句的输出结果应该为： from sklearn import cross_validation from sklearn import datasets iris = datasets.load_iris（) X_train, X_test, y_train, y_test = cross_validation.train_test_split （iris.data, iris.target, test_size=0.2 ) print （"X_train.shape:", X_train.shape, "y_train.shape:", y_train.shape)
A．("X_train.shape:", (150, 4), "y_train.shape:", (150,))
B．("X_train.shape:", (90, 4), "y_train.shape:", (90,))
C．("X_train.shape:", (30, 4), "y_train.shape:", (30,))
D．("X_train.shape:", (120, 4), "y_train.shape:", (120,))
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