Table 1.

Hyper-parameter tuned using GA.

Hyper-parameter	Default value	Bounds for tuning	Optimal value
n_estimators	100	[50,250]	85
max_depth	None	[ 2, 20]	12
max_features	10	[3,10]	4
min_sample_split	2	[2,20]	2
min_sample_leaf	1	[1,10]	1