sklearn逻辑回归实现乳腺癌数据集二分类预测

#逻辑回归实现之前的乳腺癌数据集分类预测
from sklearn import datasets
from sklearn.cross_validation import train_test_split
from sklearn.linear_model import LogisticRegression

cancer =datasets.load_breast_cancer()
cancer_X=cancer.data
print(cancer_X.shape)
cancer_y=cancer.target
print(cancer_y.shape)
X_train,X_test,y_train, y_test=train_test_split(
    cancer_X,cancer_y,test_size=0.3)
print(cancer_X)
clf = LogisticRegression()
clf.fit(X_train,y_train)
clf_y_predict = clf.predict(X_test)
#print(clf_y_predict)
score=clf.score(X_test,y_test)
print(score)