Table A2.

Parameter Tuning for Subject-Dependent Experiments with EEG-fNIRS Modalities. The three different parameters tuned for each ML baseline model.

Baseline Type	Parameter	Accuracy	Precision	Recall	F1	AUROC
SVM	C = 0.5	$75.77\pm 7.39$	$76.54\pm 8.78$	$78.04\pm 3.02$	$76.97\pm 6.15$	$75.70\pm 7.14$
	C = 1.0	$86.27\pm 6.11$	$87.25\pm 4.50$	$85.74\pm 8.43$	$86.30\pm 6.69$	$86.19\pm 5.70$
	C = 1.5	$88.78\pm 3.54$	$91.08\pm 4.73$	$89.68\pm 6.33$	$90.30\pm 5.54$	$90.26\pm 4.93$
RF	Trees = 50	$88.73\pm 4.64$	$89.90\pm 4.42$	$87.44\pm 5.86$	$88.59\pm 5.10$	$87.84\pm 5.45$
	Trees = 100	$86.88\pm 8.16$	$90.47\pm 5.95$	$82.83\pm 12.22$	$85.91\pm 9.99$	$87.11\pm 7.80$
	Trees = 200	$91.51\pm 2.55$	$93.42\pm 1.40$	$89.50\pm 4.64$	$91.33\pm 3.08$	$91.39\pm 2.45$
KNN	K = 5	$74.69\pm 8.80$	$78.38\pm 4.47$	$68.92\pm 20.99$	$72.24\pm 13.97$	$74.43\pm 8.21$
	K = 10	$66.51\pm 4.20$	$67.91\pm 0.93$	$67.80\pm 14.96$	$67.05\pm 7.62$	$67.31\pm 6.67$
	K = 13	$65.74\pm 4.42$	$70.14\pm 0.43$	$58.81\pm 14.36$	$63.51\pm 9.48$	$65.78\pm 4.20$