From: SIP-FS: a novel feature selection for data representation
Algorithms | mRMR | ReliefF | En-mRMR | En-ReliefF | SIP-FS |
---|---|---|---|---|---|
Agricultural | 0.960 | 0.901 | 0.956 | 0.905 | 0.963 |
Airplane | 0.823 | 0.849 | 0.848 | 0.820 | 0.864 |
Baseballdiamod | 0.882 | 0.873 | 0.887 | 0.886 | 0.842 |
Beach | 0.960 | 0.965 | 0.973 | 0.940 | 0.949 |
Buildings | 0.778 | 0.793 | 0.766 | 0.813 | 0.834 |
Chaparral | 0.967 | 0.973 | 0.976 | 0.956 | 0.955 |
Denseresidential | 0.785 | 0.783 | 0.800 | 0.666 | 0.788 |
Forest | 0.965 | 0.956 | 0.953 | 0.929 | 0.948 |
Freeway | 0.872 | 0.917 | 0.910 | 0.910 | 0.864 |
Golfcourse | 0.877 | 0.834 | 0.900 | 0.824 | 0.835 |
Harbor | 0.904 | 0.832 | 0.920 | 0.852 | 0.869 |
Intersection | 0.794 | 0.815 | 0.811 | 0.785 | 0.807 |
Mediumresidenial | 0.873 | 0.779 | 0.870 | 0.705 | 0.837 |
Mobilehomepak | 0.842 | 0.748 | 0.852 | 0.750 | 0.824 |
Overpass | 0.867 | 0.812 | 0.885 | 0.796 | 0.848 |
Parkinglot | 0.894 | 0.855 | 0.885 | 0.865 | 0.846 |
River | 0.795 | 0.793 | 0.791 | 0.795 | 0.844 |
Runway | 0.896 | 0.880 | 0.891 | 0.875 | 0.893 |
Sparseresidentil | 0.816 | 0.795 | 0.813 | 0.703 | 0.791 |
Storagetanks | 0.724 | 0.697 | 0.711 | 0.700 | 0.724 |
Tenniscourt | 0.772 | 0.667 | 0.763 | 0.642 | 0.755 |
Average | 0.859 | 0.834 | 0.865 | 0.768 | 0.851 |