Table 4 Predictability comparisons on MIML
From: SIP-FS: a novel feature selection for data representation
Algorithms | mRMR | ReliefF | En-mRMR | En-ReliefF | SIP-FS |
|---|---|---|---|---|---|
Desert | 0.735 | 0.704 | 0.729 | 0.727 | 0.743 |
Mountains | 0.873 | 0.869 | 0.834 | 0.862 | 0.837 |
Sea | 0.812 | 0.811 | 0.786 | 0.799 | 0.794 |
Sunset | 0.868 | 0.829 | 0.826 | 0.745 | 0.859 |
Trees | 0.875 | 0.839 | 0.856 | 0.857 | 0.854 |
Average | 0.833 | 0.810 | 0.806 | 0.798 | 0.817 |