获得高斯朴素贝叶斯的精度

Question

我编写了https://scikit-learn.org/的示例。但我找不到精度？

import numpy as np
x = np.array([[-1, -1], [-2, -1], [-3, -2], [1, 1],[2, 1], [3, 2]])
y = np.array([1, 1, 1, 2, 2, 2])
from sklearn.naive_bayes import GaussianNB
clf = GaussianNB()
clf.fit(x, y)
pred = clf.predict([[-0.8, -1]])

from sklearn.metrics import accuracy_score
accuracy_score(y,pred)

Answer 1

您正在传递两个样本数量不一致的变量作为accuracy_score()的输入（y有6个样本，pred有1个样本。