Table 5.

Average MCC (top) and BAcc (bottom) performance of each optimized feature set.

Feature set	ASD vs. TD MCC and BAcc (mean ± STD)	ASD vs. TD (Null p)	ASD vs DCD MCC and Bacc (mean ± STD)	ASD vs. DCD (Null p)
Motor	0.793 ± 0.156	0.00080	0.057 ± 0.183	0.190
	0.890 ± 0.081	0.0010	0.520 ± 0.070	0.190
Sensory	0.902 ± 0.110	0.00020	0.565 ± 0.207	0.0222
	0.947 ± 0.060	0.00020	0.773 ± 0.103	0.0222
M + S	0.885 ± 0.111	0.00020	0.546 ± 0.213	0.0274
	0.938 ± 0.060	0.0010	0.763 ± 0.106	0.0282
RDoC	0.889 ± 0.120	0.00040	0.377 ± 0.247	0.0832
	0.940 ± 0.064	0.00060	0.680 ± 0.119	0.0894
RDoC + M	0.949 ± 0.085	0.00020	0.383 ± 0.243	0.0881
	0.971 ± 0.049	0.00020	0.682 ± 0.117	0.104
RDoC + S	0.931 ± 0.084	0.0010	0.573 ± 0.222	0.0282
	0.961 ± 0.047	0.0010	0.777 ± 0.111	0.0276
RDoC + M + S	0.907 ± 0.091	0.00040	0.542 ± 0.224	0.0296
	0.948 ± 0.050	0.00040	0.761 ± 0.112	0.0304

Mean and standard deviation of MCC and BAcc performance across 2000 cross validation loops, as well as p value calculated against a null distribution reported for both decoders.