Table 6. Performance metrics.

Metric	Definition	Equation
Accuracy	The ratio of correctly predicted observation to the total observations	(True Positives (TP) + True Negatives (TN))/(Positives+ Negatives)
Recall (sensitivity)	The ratio of correctly predicted positive observations to the all observations in actual class	TP/(TP + False Negatives (FN))
Precision	The ratio of correctly predicted positive observations to the total predicted positive observations	TP/(TP+ False Positive (FP))
f-measure	The weighted average of Precision and Recall	2 × (Recall × Precision)/(Recall + Precision)
False Positive Rate (FPR)	The proportion of samples that test positive which are genuinely negative	FP/(FP+TN)
False Negative Rate (FNR)	The proportion of samples that test negative which are genuinely positive	FP/(FP+TN)