Table 10. Hausdorff et al. (2007) dataset best model parameter selections.

Method	Learning rate	Min child W.	Subsample	Colsample by tree	Max depth	Gamma
CNN-XG-MSCHO	0.900000	3.259372	0.891252	1.000000	7.555943	0.800000
CNN-XG-SCHO	0.191214	1.666386	0.348368	0.914698	4.000000	0.353234
CNN-XG-SCA	0.100000	1.000000	0.954390	1.000000	10.000000	0.000000
CNN-XG-GA	0.318375	1.000000	1.000000	1.000000	7.000000	0.800000
CNN-XG-PSO	0.100000	1.000000	0.989769	1.000000	5.000000	0.138171
CNN-XG-FA	0.100000	1.000000	1.000000	1.000000	5.000000	0.000000
CNN-XG-WOA	0.900000	1.000000	1.000000	1.000000	10.000000	0.243771
CNN-XG-BSO	0.323362	1.000000	0.965132	1.000000	7.000000	0.708029
CNN-XG-RSA	0.900000	1.073230	0.193228	0.901294	6.000000	0.613811
CNN-XG-COA	0.100000	3.423273	0.993274	1.000000	10.000000	0.405371
CNN-XG-COLSHADE	0.100000	2.174713	1.000000	0.901547	7.000000	0.198174