Table 2.

Permutation feature importance for the final SVC model listed in alphabetical order based on the “Features” column.

Features	Permutation importance
ANT RT–Alerting Network	0.0349 ± 0.2964
ANT Won %–Alerting Network	0.0274 ± 0.2613
ANT RT–Executive Network	0.0101 ± 0.2613
ANT Won %–Executive Network	0.0150 ± 0.2205
ANT RT–Orienting Network	0.0255 ± 0.2260
ANT Won %–Orienting Network	0.0420 ± 0.2763
Corsi Score	0.0438 ± 0.3038
Stroop RT–Flexibility	0.0370 ± 0.2685
Stroop Won %–Flexibility	0.0040 ± 0.1918
Stroop RT–Inhibition	0.0373 ± 0.2991
Stroop Won %–Inhibition	0.0134 ± 0.2582
TOL Score	0.0477 ± 0.3223