From: Gene selection algorithm by combining reliefF and mRMR
Feature Selection Method | Classifier | ALL | ARR | LYM | HBC | NCI60 | MLL | GCM |
---|---|---|---|---|---|---|---|---|
ReliefF | SVM | 96.37% | 79.29% | 100% | 95.45% | 58.33% | 94.44% | 55.25% |
 | Naive Bayes | 92.34% | 75% | 95.16% | 90.91% | 53.33% | 91.67% | 55.56% |
mRMR | SVM | - | 75.35% | 100% | 95.45% | 53.33% | - | - |
 | Naive Bayes | - | 73.21% | 97.33% | 87.51% | 51.20% | - | - |
mRMR-ReliefF | SVM | 96.77% | 81.43% | 100% | 95.45% | 68.33% | 98.61% | 64.65% |
 | Naive Bayes | 95.97% | 79.05% | 100% | 95.45% | 61.67% | 98.61% | 61.11% |