Table 2.

Average performance on held-out whole brain data in 10-fold cross validation.

	Accuracy	Overlap	AUC
2-D CNN	0.746	0.728*	$0.783\pm 0.030$*
3-D CNN	0.790	0.717*	$0.799\pm 0.029$*
Unit CNN-random	0.780	0.753*	$0.805\pm 0.029$*
Unit CNN-duplicate	0.770	0.698*	$0.757\pm 0.035$*
Unit CNN-contralateral	0.818	0.811	$\mathbf{0.871}\pm \mathbf{0.024}$
GLM	0.751*	0.628*	$0.746\pm 0.022$*
SVM	0.724*	0.633*	$0.691\pm 0.033$*
SR-KDA	0.784	0.679*	$\mathbf{0.788}\pm \mathbf{0.031}$*

Note: Bold values indicate the highest values within each group of models (CNNs and baselines).

^*Indicated statistically significant results ($p\text{value}<0.05$) against the unit CNN-contralateral model.