Table 6 Classification comparison of different gene ranking algorithms using MLL dataset
Dataset | Classifier | Algorithm | |||
|---|---|---|---|---|---|
| Â | Â | Gain Ratio | GA/KNN | GE | MF-GE |
MLL | C4.5 | 81.87 | 72.89 ± 2.08 | 78.27 ± 3.10 | 81.54 ± 1.67 |
|  | Random Forests | 83.02 | 88.07 ± 1.05 | 88.20 ± 1.41 | 89.74 ± 0.60 |
|  | 3-Nearest Neighbor | 79.63 | 88.22 ± 1.30 | 86.18 ± 1.39 | 88.14 ± 1.09 |
|  | 7-Nearest Neighbor | 79.63 | 86.72 ± 1.03 | 85.02 ± 1.49 | 86.69 ± 1.98 |
|  | Naive Bayes | 83.95 | 89.62 ± 0.67 | 90.68 ± 1.28 | 91.50 ± 0.67 |
| Â | Mean | 81.62 | 85.10 | 85.67 | 87.52 |
|  | Majority Voting | 83.88 | 88.38 ± 0.97 | 89.02 ± 1.71 | 91.08 ± 0.96 |