An MLP Classifier for Prediction of HBV-Induced Liver Cirrhosis Using Routinely Available Clinical Parameters

Table 5

Performance of the three algorithms on the test set with suggested cut-off value.

Classifiers	OC	TP	TN	FP	FN	ACC (%)	SE (%)	SP (%)	AUC	PPV (%)	NPV (%)	LR+	LR−
MLP	0.281	59	48	9	3	89.9	95.2	84.2	0.942^a	86.8	94.1	6.025	0.057
APRI	0.540	58	33	24	4	76.5	93.6	57.9	0.726	70.7	89.2	2.223	0.111
FIB-4	2.005	56	41	16	6	81.5	90.3	71.9	0.817	77.7	87.2	3.214	0.135

OC: optimal cutoff; TP: true positive; TN: true negative; FP: false positive; FN: false negative; ACC: accuracy; SE: sensitivity; SP: specificity; AUC: area under curve; PPV: positive predictive value; NPV: negative predictive value; LR+: positive likelihood ratio; LR−: negative likelihood ratio.
^a𝑃<0.001 when compared to APRI and FIB-4.