[Retracted] Cancer Categorization Using Genetic Algorithm to Identify Biomarker Genes

Table 2

Details of performance parameters.

Name of the parameter	Condition		Definition	Explanation
	Positive	Negative
TPR-true positive rate (sensitivity)	TP-true positive	FP-false positive	TP/(TP + FP)	The closer to 1, the better. TPR = 1 when FP = 0.
TNR-true negative rate (specificity)	TN-true negative	FN-false negative	TN/(TN + FN)	The closer to 1, the better. TNR = 1 when FN = 0.
FPR-false positive rate	FP-false positive	TN-true negative	FP/(FP + TN)	The closer to 0, the better. FPR = 0 when FP = 0.
FNR-false negative rate	FN-false negative	TP-true positive	FN/(FN + TP)	The closer to 0, the better. FNR = 0 when FN = 0.