Research Article
Robust Feature Selection from Microarray Data Based on Cooperative Game Theory and Qualitative Mutual Information
Table 3
Average stability ± standard deviation stability of the evaluated feature selection approaches.
| Data set | Proposed method | CGFS-SU | Fisher | mRMR |
| 11_Tumors | 0.9954 ± 0.0044 | 0.9939 ± 0.0015 | 0.6872 ± 0.0668 | 0.8956 ± 0.0149 | 14_Tumors | 0.9956 ± 0.0026 | 0.9944 ± 0.0030 | 0.6029 ± 0.0940 | 0.8712 ± 0.0279 | 9_Tumors | 0.9790 ± 0.0065 | 0.9736 ± 0.0096 | 0.4557 ± 0.0472 | 0.6451 ± 0.1400 | Brain_Tumor1 | 0.9873 ± 0.0053 | 0.9790 ± 0.0037 | 0.6548 ± 0.0636 | 0.8132 ± 0.0090 | Brain_Tumor2 | 1 ± 0 | 1 ± 0 | 0.5548 ± 0.0358 | 0.9863 ± 0.0097 | Leukemia1 | 0.9750 ± 0.0117 | 0.9768 ± 0.0098 | 0.8212 ± 0.0130 | 0.7975 ± 0.0483 | Leukemia2 | 0.9826 ± 0.0029 | 0.9697 ± 0.0048 | 0.8695 ± 0.0345 | 0.6203 ± 0.1538 | Lung_Cancer | 0.9947 ± 0.0092 | 0.9869 ± 0.0027 | 0.6517 ± 0.0398 | 0.8743 ± 0.0372 | SRCBT | 0.9214 ± 0.0375 | 0.9378 ± 0.0240 | 0.7707 ± 0.0362 | 0.8463 ± 0.0317 | Prostate_Tumor | 0.9235 ± 0.0250 | 0.9551 ± 0.0066 | 0.7876 ± 0.0165 | 0.7462 ± 0.0655 | DLBCL | 0.9766 ± 0.0094 | 0.9569 ± 0.0161 | 0.6719 ± 0.0700 | 0.7748 ± 0.0543 |
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