Table 3 The comparisons in seven gene selection methods (gene number = 30).
From: Gene selection algorithm by combining reliefF and mRMR
Feature Selection Method | Classifier | ALL | ARR | LYM | HBC | NCI60 | MLL | GCM |
|---|---|---|---|---|---|---|---|---|
No feature sel | SVM | 91.94% | 51.04% | 95.16% | 77.27% | 63.33% | 97.22% | 51.52% |
| Â | Naive Bayes | 85.23% | 49.57% | 95.04% | 70.11% | 45.22% | 93.13% | 40.33% |
mRMR-ReliefF | SVM | 96.77% | 81.43% | 100% | 95.45% | 68.33% | 98.61% | 64.65% |
| Â | Naive Bayes | 95.97% | 79.05% | 100% | 95.45% | 61.67% | 98.61% | 61.11% |
Maxrel | SVM | 89.11% | 74.53% | 100% | 72.73% | 51.67% | 77.78% | 60.61% |
| Â | Naive Bayes | 88.71% | 73.49% | 100% | 63.64% | 48.33% | 80.56% | 46.97% |
Information Gain | SVM | 97.58% | 80.13% | 98.39% | 100% | 61.67% | 98.67% | 46.67% |
| Â | Naive Bayes | 92.74% | 77.21% | 93.55% | 86.38% | 60% | 97.22% | 47.47% |
Sum Minority | SVM | 93.95% | 76.42% | 98.39% | 95.45% | 55% | 90.28% | 55.05% |
| Â | Naive Bayes | 91.13% | 74.32% | 95.16% | 81.82% | 46.67% | 91.67% | 49.49% |
Twoing Rule | SVM | 96.77% | 79.37% | 98.39% | 90.91% | 61.67% | 97.22% | 45.96% |
| Â | Naive Bayes | 90.32% | 72.19% | 93.55% | 86.36% | 45% | 95.83% | 46.46% |
F-statistic | SVM | 97.17% | 67.12% | 96.77% | 90.91% | 63.33% | 77.22% | 39.10% |
| Â | Naive Bayes | 80.27% | 71.55% | 98.52% | 85.41% | 60.15% | 80.13% | 39.81% |
GSNR | SVM | 93.18% | 77.24% | 100% | 95.45% | 63.37% | 90.25% | 40.74% |
| Â | Naive Bayes | 90.11% | 70.43% | 100% | 85.65% | 58.25% | 87.22% | 39.81% |