Model | Precision | Recall | Test error | Model size |
---|---|---|---|---|
3A. Results: 100–2000 features | ||||
AUCRF | 0.54 (0.25) | 0.74 (0.26) | 0.27 (0.1) | 8.74 (0.13) |
binomialRF | 0.91 (0.13) | 0.37 (0.36) | 0.33 (0.13) | 81.72 (0.08) |
Boruta | 0.89 (0.15) | 0.41 (0.37) | 0.32 (0.13) | 63.38 (0.1) |
EFS | 0.83 (0.16) | 0.69 (0.27) | 0.25 (0.1) | 8.66 (0.13) |
Perm | 0.33 (0.33) | 0.82 (0.18) | 0.30 (0.09) | 59.42 (0.1) |
PIMPa | 0.18 (0.36) | 0.00 (0.01) | 0.35 (0.1) | 1.47 (0.11) |
RFE | 0.49 (0.35) | 0.61 (0.23) | 0.3 (0.08) | 250.29 (0.09) |
VarSelRF | 0.67 (0.24) | 0.65 (0.29) | 0.27 (0.1) | 12.31 (0.12) |
Vita | 0.46 (0.28) | 0.66 (0.29) | 0.28 (0.1) | 35.44 (0.1) |
VSURF | 0.86 (0.15) | 0.44 (0.36) | 0.31 (0.12) | 40.95 (0.1) |
3B. Results: 10,000 features | ||||
AUCRF | 0.17 (0.05) | 0.33 (0.05) | 0.41 (0.05) | 215.68 (0.01) |
binomialRF | 0.51 (0.12) | 0.14 (0.12) | 0.41 (0.03) | 28.6 (0.03) |
Boruta | 0.72 (0.18) | 0.03 (0.18) | 0.47 (0.01) | 4.68 (0.02) |
Perm | 0.02 (0) | 0.82 (0) | 0.46 (0.03) | 4958.26 (0.03) |
RFE | 0.03 (0) | 0.66 (0) | 0.44 (0.04) | 1950.11 (0.02) |
Vita | 0.03 (0) | 0.52 (0) | 0.45 (0.05) | 1954.32 (0.02) |