A Multicriteria Approach to Find Predictive and Sparse Models with Stable Feature Selection for High-Dimensional Data

Table 10

Stability values for the Pareto optimal configurations in Table 9. The ID column references Table 9. “—” means that the configuration is not Pareto optimal for the corresponding stability measure.

ID	1 − SJ	1 − SJ	1 − SC	1 − SC	1 − SD-1	1 − SD-1	1 − SD-10	1 − SD-10
	(train)	(test)	(train)	(test)	(train)	(test)	(train)	(test)
16	0.352	0.441	—	—	—	—	—	—
17	0.368	0.457	0.281	0.369	0.609	0.694	—	—
18	0.594	0.747	0.426	0.601	0.656	0.749	—	—
19	0.596	0.864	0.428	0.767	0.673	0.815	0.684	0.827
20	0.664	0.739	0.502	0.591	0.708	0.739	0.752	0.794