sklearn训练测试集划分

from sklearn import cross_validation
from sklearn import datasets
from sklearn import svm

iris=datasets.load_iris()
print(iris.data.shape,iris.target.shape)  150,4    150,

X_train,X_test,y_train,y_test=cross_validation.train_test_split(iris.data,iris.target,test_size=0.
4,random_state=0)
print(X_train.shape,y_train.shape)    90,4   90,
print(X_test.shape,y_test.shape)  60,4   60,

clf=svm.SVC(kernel="linear",C=1).fit(X_train,y_train)
clf.score(X_test,y_test)

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