Table 1.

Ensemble and Mean AUROCS of all models. Distributions of each of these classification accuracies are shown in Fig. 6.

		All		Rest		Task
		Ens.	Mean $\pm$ Std	Ens.	Mean $\pm$ Std	Ens.	Mean $\pm$ Std
Complete		0.8459	0.8010 $\pm$ 0.0164	0.8923	0.8504 $\pm$ 0.0184	0.7683	0.7207 $\pm$ 0.0285
Inner Edges Only
CEN	Incl.	0.8380	0.7805 $\pm$ 0.0163	0.8844	0.8343 $\pm$ 0.0179	0.7609	0.7027 $\pm$ 0.0267
	Excl.	0.8386	0.7798 $\pm$ 0.0165	0.8825	0.8315 $\pm$ 0.0193	0.7641	0.7050 $\pm$ 0.0278
DMN	Incl.	0.8407	0.7804 $\pm$ 0.0160	0.8868	0.8336 $\pm$ 0.0189	0.7643	0.7018 $\pm$ 0.0289
	Excl.	0.8420	0.7804 $\pm$ 0.0168	0.8873	0.8334 $\pm$ 0.0182	0.7671	0.7030 $\pm$ 0.0301
SAL	Incl.	0.8388	0.7824 $\pm$ 0.0165	0.8860	0.8352 $\pm$ 0.0173	0.7600	0.7050 $\pm$ 0.0294
	Excl.	0.8392	0.7782 $\pm$ 0.0172	0.8853	0.8308 $\pm$ 0.0197	0.7631	0.7021 $\pm$ 0.0276
Connecting Edges
CEN	Incl.	0.8406	0.7833 $\pm$ 0.0152	0.8872	0.8364 $\pm$ 0.0168	0.7624	0.7059 $\pm$ 0.0284
	Excl.	0.8287	0.7704 $\pm$ 0.0148	0.8738	0.8228 $\pm$ 0.0177	0.7544	0.6939 $\pm$ 0.0267
DMN	Incl.	0.8396	0.7801 $\pm$ 0.0171	0.8836	0.8337 $\pm$ 0.0187	0.7660	0.7020 $\pm$ 0.0304
	Excl.	0.8278	0.7712 $\pm$ 0.0162	0.8753	0.8246 $\pm$ 0.0196	0.7490	0.6929 $\pm$ 0.0273
SAL	Incl.	0.8397	0.7811 $\pm$ 0.0162	0.8875	0.8351 $\pm$ 0.0176	0.7619	0.7024 $\pm$ 0.0293
	Excl.	0.8321	0.7739 $\pm$ 0.0175	0.8853	0.8253 $\pm$ 0.0193	0.7631	0.6993 $\pm$ 0.0291