Table 2.

Overall performance of the final linear models.

Classification a	GA-LDA			FS-LDA			SFS-LDA
	Sub-Training	Test	Validation	Sub-Training	Test	Validation	Sub-Training	Test	Validation
NDTotal b	2707	1160	1656	2707	1160	1656	2707	1160	1656
NDactive b	1027	459	620	1027	459	620	1027	459	620
CCDactive c	916	413	553	901	399	541	905	409	546
Sensitivity (%)	89.2	90.0	88.6	87.4	88.6	88.5	88.2	89.9	88.7
NDinactive b	1680	701	1036	1680	701	1036	1680	1680	1036
CCDinactive c	1472	626	918	1468	621	917	1481	630	919
Specificity (%)	87.6	89.3	89.2	87.7	86.9	87.3	88.1	89.1	88.1
F-measure	0.852	0.872	0.857	0.842	0.851	0.845	0.849	0.871	0.851
Accuracy (%)	88.2	89.6	88.8	87.5	87.9	88.0	88.1	89.6	88.5
MCC d	0.756	0.785	0.767	0.741	0.75	0.749	0.753	0.784	0.758

^a LDA classification statistical parameters. ^b ND: Number of datapoints. ^c Correctly classified datapoints. ^d Matthews correlation coefficient.