Table 3.

Predictive performance metrics of our models

Model	Performance on testing set						10-Fold CV
	B. Acc	AUC	Spec	Sen	F-Index	JI	B. Acc	AUC	Spec	Sen	F-Index	JI
LSVM	92.8	0.97	0.93	0.92	0.88	0.80	79.2	0.96	0.94	0.64	0.80	0.70
LDA	88.4	0.96	0.96	0.80	0.88	0.80	84.7	0.95	0.95	0.74	0.85	0.75
GBC	89.8	0.97	0.97	0.83	0.90	0.82	80.1	0.91	0.95	0.65	0.81	0.71
KNN	69.0	0.78	0.91	0.47	0.69	0.57	68.5*	0.77	0.91	0.46	0.69	0.57
NBC	87.0	0.94	0.97	0.77	0.88	0.79	83.0	0.90	0.92	0.74	0.84	0.77
DTC	73.6	0.75	0.90	0.57	0.73	0.59	75.9	0.76	0.92	0.60	0.75	0.64
MLPC	92.0	0.97	0.95	0.89	0.90	0.82	87.5	0.96	0.95	0.75	0.86	0.78
PC	50.3	0.89	1.00	0.00	0.46	0.42	60.0*	0.82	0.85	0.35	0.53	0.46
LR	90.9	0.97	0.97	0.84	0.91	0.83	86.4	0.96	0.97	0.76	0.88	0.79

Values represented in the 10-Fold Experiment table are the averages across the 10-folds; *Significant at p < 0.05