如果要获得测试集的准确性得分，则需要创建一个答案键，可以将其称为y_test.除非您知道正确的答案，否则您不会知道自己的预测是否正确.

If you want to get an accuracy score for your test set, you'll need to create an answer key, which you can call y_test. You can't know if your predictions are correct unless you know the correct answers.

一旦您有了答案键，您就可以获取准确性.所需的方法是 sklearn.metrics.accuracy_score .

Once you have an answer key, you can get the accuracy. The method you want is sklearn.metrics.accuracy_score.

我将其写在下面:

from sklearn.metrics import accuracy_score

# ... everything else the same ...

# create an answer key
# I hope this is correct!
y_test = [[1], [2], [3]]

# same as yours...
classifier.fit(X_train, y_train)
predicted = classifier.predict(X_test)

# get the accuracy
print accuracy_score(y_test, predicted)

此外，sklearn除了准确性外还有其他几个指标.在此处查看它们: sklearn.metrics

Also, sklearn has several other metrics besides accuracy. See them here: sklearn.metrics