性能度量 1 accuracy

计算分类结果的准确率

sklearn.metrics.accuracy_score（真实标记集合，分类器对样本集预测的预测值，normalize = [True：比例，False：数量]，sample_weight = 样本权重，默认为1）

from sklearn.metrics import accuracy_score
y_true=[1,1,1,1,1,0,0,0,0,0]
y_pred=[0,0,1,1,0,0,1,1,0,0]
#准确率
print('准确率','Accuracy Score(normalize=True):',accuracy_score(y_true,y_pred,normalize=True))    
#正确分类数量
print('正确分类数量','Accuracy Score(normalize=False):',accuracy_score(y_true,y_pred,normalize=False))  

准确率 Accuracy Score(normalize=True): 0.5
正确分类数量 Accuracy Score(normalize=False): 5