Research Article
A Multicriteria Approach to Find Predictive and Sparse Models with Stable Feature Selection for High-Dimensional Data
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. | | Variance | 10812 | 0 | 0.026 | 10811.9 | 10812.0 | 13 | Lasso Log. Reg. | | MRMR | 9927 | 0 | 0.025 | 4546.2 | 4728.2 | 14 | GLM Boosting | | Variance | 972 | 0 | 0.026 | 51.0 | 55.4 | 15 | GLM Boosting | | Variance | 1586 | 0 | 0.040 | 25.7 | 42.5 |
|
|