Table 3.

Best performing models for feature set sizes ranging from 10 to 38.

AGA Run Parameters and Result								Random	Stepwise
#	Size	Rho	Subset	Immi- grants	Generations	Feature set**	AUC	AUC	AUC
1	10	0.6	None	30	300	Set_10	0.83	0.59	0.76
2	14	0.1*	Quartile	N/A	300	Set_14	0.85	0.60	0.78
3	18	0.1*	Quartile	N/A	300	Set_18	0.86	0.59	0.79
4	22	0.1*	Quartile	N/A	300	Set_22	0.87	0.59	0.80
5	26	0*	Quartile	N/A	300	Set_26	0.88	0.60	0.81
6	30	0*	Quartile	N/A	300	Set_30	0.89	0.59	0.82
7	34	0.2	None	30	600	Set_34	0.88	0.59	0.82
8	38	0	None	30	300	Set_38	0.85	0.60	0.82

* Penalty applied to the AGA started with only "best quartile" subset.

** Included features can be found in Additional File 4: Table S2.

The results were compared with models from the randomly selected feature sets (same sizes) and stepwise selected models