TABLE 2.

Best values of balanced accuracy, log loss, and AUC for each combination of classifier and parcelation using DTW.

	Biobank_UK_25	MSDL	Biobank_UK_100	Willard
Ann4Brains	BACC = 0.849	BACC = 0.868	BACC = 0.740	BACC = 0.825
	LLOSS = 0.453	LLOSS = 0.435	LLOSS = 0.479	LLOSS = 0.482
	AUC = 0.897	AUC = 0.918	AUC = 0.846	AUC = 0.875
Ann4BrainsBatch	BACC = 0.849	BACC = 0.868	BACC = 0.779	BACC = 0.853
	LLOSS = 0.345	LLOSS = 0.366	LLOSS = 0.438	LLOSS = 0.396
	AUC = 0.935	AUC = 0.930	AUC = 0.868	AUC = 0.885
Meszlenyi2017	BACC = 0.805	BACC = 0.849	BACC = 0.678	BACC = 0.810
	LLOSS = 0.676	LLOSS = 0.675	LLOSS = 0.546	LLOSS = 0.462
	AUC = 0.853	AUC = 0.916	AUC = 0.760	AUC = 0.882
TPOT	BACC = 0.846	BACC = 0.776	BACC = 0.826	BACC = 0.801
	LLOSS = 0.351	LLOSS = 0.472	LLOSS = 0.412	LLOSS = 0.471
	AUC = 0.929	AUC = 0.872	AUC = 0.906	AUC = 0.874