Algorithm 1: M-ESN Optimization. Input: Modules count $M$ ; Intra-community connectivity $P_1$ ; Inter-community connectivity $P_2$ ; DEAP dataset. Output: Optimal combinations of $P_1$ , $P_2$ , and $M$ . 1: Let data =normalize (data). 2: for $P_1$ = 0.05, 0.1, 0.15, 0.2, 0.25, 0.3 do 3: for $M$ = 1, 2, 3, 4, 5, 6, 8, 10 do 4: for $P_2=\frac{1}{5}{P}_1,\frac{2}{5}{P}_1,\dots P_1$ do 5: Acc = MESN( $M$ , $P_1$ , $P_2$ ) 6: if Acc’ < Accthen 7: Acc’, $M$ ’, $P_1$ ’, $P_2$ ’ = Acc, $M$ , $P_1$ , $P_{2.}$ 8: end for 9: end for 10: end for 11: return $M$ ’, $P_1$ ’, $P_2$ ’ 12: end