误差评估标准
2017-02-05 本文已影响12人
JaiUnChat
| Actual 1 | Actual 0 | |
|---|---|---|
| Predicted 1 | True Positive | False Positive |
| Predicted 0 | False Negative | True Negative |
**Precision = True Positive / #Predicted Positive = True Positive / True Positive + False Positive **
**Recall = True Positive / #Actual Positive = True Positive / True Positive + False Negative **
Accuracy = (true positives + true negatives) / (total examples)
Precision = (true positives) / (true positives + false positives) predicted
Recall = (true positives) / (true positives + false negatives) actual 1
F1 score = (2 * precision * recall) / (precision + recall)
Predict y=1 if htheta(x) >= threshikd
F1 score = 2*(PR/ P+R)
