Table 3.

Unimodal classification statistics for the peak AUC values.

	fMRI				EEG
	bvFTD vs CN		AD vs CN		bvFTD vs CN (δ)		AD vs CN (θ)
AUC	0.904	(0.017)	0.900	(0.014)	0.955	(0.021)	0.867	(0.024)
Precision	0.922	(0.017)	0.892	(0.014)	0.931	(0.022)	0.793	(0.025)
Specificity	0.655	(0.042)	0.761	(0.069)	0.818	(0.064)	0.683	(0.049)
Sensitivity	0.944	(0.016)	0.894	(0.014)	0.957	(0.023)	0.816	(0.033)
Accuracy	0.890	(0.017)	0.853	(0.016)	0.918	(0.024)	0.762	(0.027)
F1-score	0.933	(0.012)	0.893	(0.010)	0.944	(0.017)	0.804	(0.023)

Data is presented as mean (standard deviation) out of 300 iterations of the classifier.