Table 4 Average AUC of 11 different feature selection algorithms on 8 different microarray datasets
From: Multi-task feature selection in microarray data by binary integer programming
| Â | Blad | Breast | Colon | Lung | Panc. | Pros. | Renal | Uterus | Ave |
|---|---|---|---|---|---|---|---|---|---|
PC | .991 | .696 | .816 | .703 | .78 | .603 | .916 | .883 | .799 |
ChiSquare | .969 | .625 | .749 | .669 | .789 | .636 | .741 | .908 | .761 |
GINI | .969 | .625 | .749 | .669 | .789 | .636 | .743 | .917 | .762 |
InfoGain | .969 | .625 | .749 | .669 | .789 | .636 | .741 | .908 | .761 |
KW | .903 | .621 | .907 | .750 | .876 | .626 | .870 | .913 | .808 |
Relief | .991 | .729 | .795 | .721 | .796 | .594 | .929 | .888 | .805 |
mRMR | .969 | .650 | .765 | .682 | .830 | .682 | .786 | .875 | .780 |
SASMIF | .978 | .739 | .704 | .671 | .823 | .650 | .768 | .854 | .773 |
QSFS | .991 | .693 | .817 | .700 | .788 | .600 | .916 | .883 | .799 |
ST-BIP | .991 | .679 | .921 | .782 | .882 | .612 | .966 | .910 | .843 |
MT-BIP | .997 | .850 | .882 | .754 | .846 | .715 | .895 | .921 | .858 |