Probabilistic Model-Based Malaria Disease Recognition System

Table 2

Confusion matrix.

Actual	Predicted
		Yes	No
	Yes	46	14
	No	5	35
Measure	Value	Derivations
Sensitivity	0.9020	TPR = TP/(TP + FN)
Specificity	0.7143	SPC = TN/(FP + TN)
Precision	0.7667	PPV = TP/(TP + FP)
Negative predictive value	0.8750	NPV = TN/(TN + FN)
False positive rate	0.2857	FPR = FP/(FP + TN)
False discovery rate	0.2333	FDR = FP/(FP + TP)
False negative rate	0.0980	FNR = FN/(FN + TP)
Accuracy	0.8100	ACC = (TP + TN)/(P + N)
F1 score	0.8288	F1 = 2TP/(2TP + FP + FN)
Mathews correlation coefficient	0.6288	TPTN-FPFN/sqrt (TP + FP)(TP + FN)(TN + FP)(TN + FN)