Table 1.

Quantitative evaluation results

	PsP vs non-PsP						TP vs non-TP
	Accuracy (%)	AUC	Sensitivity(%)	FNR (%)	Specificity(%)	FPR (%)	Accuracy (%)	AUC	Sensitivity(%)	FNR (%)	Specificity(%)	FPR (%)
Deep Learning Features (Hold-out set)	87.50	0.811	60.00	40	94.74	5.26	78.26	0.867	83.33	16.67	72.73	27.27
APS Features (Hold-out set)	86.96	0.842	75.00	25	89.47	10.53	78.26	0.803	83.33	16.67	72.73	27.27
APS Features (LOOCV)	87.30	0.919	80.00	20	88.68	11.32	84.13	0.835	80.00	20	89.29	10.71
Combined Features (Hold-out set)	69.57	0.776	75.00	25	68.42	31.58	78.26	0.712	83.33	16.67	72.73	27.27