Methodology Report
Regularized F-Measure Maximization for Feature Selection and Classification
Table 3
Performance with different
's and
F-measure
maximization.
| | Variables selected (1/0) | Sensitivity | Specificity | Test error | AUC |
| 0.1 | 1101111 | 0.476 | 0.957 | 27.3 | 0.801 | 0.2 | 1111111 | 0.714 | 0.957 | 15.9 | 0.820 | 0.3 | 0101111 | 0.810 | 0.740 | 22.7 | 0.849 | 0.4 | 1111001 | 0.826 | 0.762 | 20.4 | 0.861 | 0.5 | 1111101 | 0.857 | 0.609 | 27.3 | 0.832 | 0.6 | 1100101 | 0.762 | 0.739 | 25 | 0.832 | 0.7 | 1110110 | 0.904 | 0.348 | 38 | 0.847 | 0.8 | 1011100 | 100 | 0.217 | 40.9 | 0.826 | 0.9 | 1100011 | 100 | 0 | 52.3 | 0.754 |
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