Table 3.

Mean performance evaluated as balanced accuracy (accuracy) and F1-score obtained for 3D convolutional neural network (CNN) and linear support vector machine (SVM) as SM-models, MM ensemble, and MM model with leave site out cross-validation (CV).

	3D-CNN		SVM
	Accuracy	F1-score	Accuracy	F1-score
ReHo	0.62	0.64	0.63	0.62
fALFF	0.59	0.63	0.61	0.61
VMHC	0.56	0.57	0.62	0.59
Degree centrality	0.56	0.56	0.60	0.59
fALFF	0.54	0.56	0.57	0.54
LFCD	0.53	0.56	0.63	0.61
Eigenvector centrality	0.51	0.49	0.59	0.57
Entropy	0.51	0.49	0.53	0.52
Autocorr	0.51	0.42	0.54	0.55
MM ensemble	0.56	0.59	0.53	0.56
MM model	0.56	0.58	0.61	0.62

See Figure 3 and Supplementary Tables S1 and S2 for details on how each test site performed.

In bold = Highest score in that column.