Table 9.

Pareto optimal configurations in Figure 10(b) (above the horizontal line) and accuracy optimal configurations (below the horizontal line). The ID column references Table 10.

ID	Classifier	Parameters	Filter	n.feats	Error	Error	Size	Size
					(train)	(test)	(train)	(test)
16	Lasso Log. Reg.	λ = 0.0001	AUC	2730	0.215	0.466	2726.9	2726.1
17	Lasso Log. Reg.	λ = 0.00004	MRMR	1972	0.219	0.491	1971.1	1970.2
18	GLM Boosting	mstop = 153	MRMR	461	0.193	0.360	35.5	46.8
19	GLM Boosting	mstop = 17	AUC	8330	0.221	0.494	11.8	14.0
20	GLM Boosting	mstop = 228	Variance	8526	0.175	0.461	48.7	60.9