1. Definition
Calculating the precision of classification results
sklearn.metrics.precision_score (set of true markers, prediction)
2. Code
from sklearn.metrics import accuracy_score,precision_score
y_true=[1,1,1,1,1,0,0,0,0,0]
y_pred=[0,0,1,1,0,0,0,0,0,0]
print('准确率Accuracy Score:',accuracy_score(y_true,y_pred,normalize=True))
print('查准率Precision Score:',precision_score(y_true,y_pred))
3. Results
Accuracy Accuracy Score: 0.7
Precision Score: 1.0