Table 1.

The confusion matrix elements used to define metrix of classification models performance.

		Actual
		Positive	Negative
Predicted	Positive	$tp$ (true positive)	$fp$ (false positive)
	Negative	$fn$ (false negative)	$tn$ (true negative)