Table 3. Performance metrics.

Classification	Performance metrics
Accuracy	(TP+TN)/(TP+FN+FP+TN): Accuracy if how close a measured value is to the actual(true) value.
Precision	TP/(TP+FP): Precision quantifies the number of positive class predictions that actually belong to the positive class.
Recall	TP/(TP+FN): Recall quantifies the number of positive class predictions made out of all positive examples in the dataset.
F1 score	2/(1/Precision +1/Recall): F+Measure provides a single score that balances both the concerns of precision and recall in one number.