进行数据集的拆分需要进行什么操作呢？

需要利用函数进行各部分的分类

from sklearn.datasets import load iris
fron sklearn. model_selection import train_test_split
X_train. X_test, y_train. y_test = train_test split ( iris dataset[' data'], iris dataset ('target']. randon state 2)
iris dataset= load iris()
print ("X_train",X_train)
print ("y_train", y_train)
print (X_ test', X_test)
print(X train shape: 0) format (K treain. shape))
print('y_test,y_test)
priat('X test shape:  .format(X_test.shape)