Table 7.

Accuracy optimal configurations in Figure 10(a). The ID column references Table 8. The 67 Pareto optimal configurations are not displayed here.

ID	Classifier	Parameters	Filter	n.feats	Error (train)	Error (test)	Size (train)	Size (test)
12	Lasso Log. Reg.	λ = 0.0001	Variance	10812	0	0.026	10811.9	10812.0
13	Lasso Log. Reg.	λ = 20.559	MRMR	9927	0	0.025	4546.2	4728.2
14	GLM Boosting	mstop = 28692	Variance	972	0	0.026	51.0	55.4
15	GLM Boosting	mstop = 213	Variance	1586	0	0.040	25.7	42.5