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误差评估标准

来源:东饰资讯网
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)

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