Table 15. Frenkel-Toledo et al. (2005) dataset best model parameter selections.

Method	Learning rate	Min child W.	Subsample	Colsample by tree	Max depth	Gamma
CNN-XG-MSCHO	0.553152	9.981037	1.000000	0.010000	3.000000	0.397994
CNN-XG-SCHO	0.900000	4.303456	0.694402	1.000000	3.000000	0.454477
CNN-XG-SCA	0.648538	1.000000	1.000000	1.000000	3.000000	0.800000
CNN-XG-GA	0.541834	10.000000	1.000000	0.010000	3.000000	0.037293
CNN-XG-PSO	0.566946	9.337266	1.000000	0.013087	3.000000	0.535184
CNN-XG-FA	0.900000	3.747522	1.000000	1.000000	9.000000	0.800000
CNN-XG-WOA	0.712243	10.000000	1.000000	0.010000	10.000000	0.800000
CNN-XG-BSO	0.530657	6.792584	1.000000	0.045359	3.000000	0.492458
CNN-XG-RSA	0.737744	10.000000	1.000000	0.015460	10.000000	0.691594
CNN-XG-COA	0.574955	10.000000	1.000000	0.040267	3.000000	0.758948
CNN-XG-COLSHADE	0.571372	10.000000	1.000000	0.010000	3.000000	0.709069