Table 7.

Summary of average metrics scores for each data model, class size = 5.

Position	Dictionary	Model-Method	ACC	Precision	Recall	F1	BACC
1	Gabor-125-20	signal + coef-XGBoost	0.777	0.744	0.689	0.709	0.688
2	Gabor-250-20	signal + coef + meta-LGBM	0.777	0.745	0.690	0.711	0.690
6	N/A	signal + meta-LGBM	0.775	0.744	0.687	0.709	0.687
7	KSVD-125-20	signal + coef + meta-XGBoost	0.775	0.745	0.683	0.706	0.683
8	Gabor-250-20	signal + coef-LGBM	0.775	0.739	0.684	0.705	0.684
15	N/A	signal + meta-XGBoost	0.774	0.743	0.685	0.707	0.685
18	N/A	signal-XGBoost	0.774	0.741	0.680	0.702	0.679
23	N/A	signal-LGBM	0.773	0.741	0.684	0.706	0.684
37	Gabor-250-20	coef + meta-LGBM	0.747	0.712	0.645	0.669	0.645
38	Gabor-125-20	coef + meta-XGBoost	0.746	0.701	0.649	0.668	0.649
40	Gabor-125-20	coef-XGBoost	0.744	0.704	0.644	0.665	0.643
48	Gabor-125-20	coef-LGBM	0.741	0.698	0.645	0.664	0.645
69	N/A	meta-LGBM	0.464	0.337	0.288	0.278	0.288
70	N/A	meta-XGBoost	0.464	0.354	0.293	0.285	0.293