Precision, Recall, and F1

Others 2022-04-27 16:07:02 views: 0

TP: Predict the positive class as the number of positive classes
FN: Number of predicted positive classes as negative classes
FP: predict the number of negative classes as positive classes
TN: predict the negative class as the number of negative classes
Precision (precision) precision:

P=TP/(TP+FN)

Recall rate (recall rate) recall:

R=TP/(TP+FN)

The higher the precision, the lower the recall, and the higher the recall, the lower the precision.

To balance precision and recall, use the F1 value. The F1 value is the harmonic mean of precision and recall.

F1=2*P*R/(P+R)

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