使用sklearn上的数字测试kNN算法

import numpy as np

from sklearn import datasets

digits=datasets.load_digits()

x=digits.data

y=digits.target

from sklearn.model_selection import train_test_split

X_train,X_test,y_train,y_test=train_test_split(x,y,test_size=0.2)

from sklearn.neighbors import KNeighborsClassifier

knn_clf=KNeighborsClassifier(n_neighbors=3)

knn_clf.fit(X_train,y_train)

print(knn_clf.score(X_test,y_test))