Table 3. Performances in 5-CV Returned by All of the Developed Classifiers^a.

	SE	SP	BA	AUC	–LR	+LR	MCC	TP	FP	TN	FN
RF	0.19	0.97	0.58	0.77	0.84	6.58	0.26	15	10	341	65
KNN	0.31	0.95	0.63	0.70	0.72	6.86	0.35	25	16	335	55
GB	0.23	0.97	0.60	0.75	0.80	6.58	0.30	18	12	339	62
XGB	0.40	0.95	0.68	0.78	0.63	8.26	0.43	32	17	334	48
BRF	0.73	0.74	0.73	0.78	0.37	2.77	0.38	58	92	259	22
uKNN	0.65	0.73	0.69	0.72	0.48	2.41	0.31	52	96	255	28
uGB	0.73	0.70	0.71	0.73	0.39	2.43	0.34	58	105	246	22
uXGB	0.68	0.72	0.70	0.72	0.44	2.43	0.32	54	98	253	26

^aFor each model, the following statistics are reported: sensitivity (SE), specificity (SP), balanced accuracy (BA), area under the ROC (AUC), negative likelihood ratio (−LR), positive likelihood ratio (+LR), Matthews correlation coefficient (MCC), number of true positives (TPs), false positives (FPs), true negatives (TNs), and false negatives (FNs).