Table 5 Classification comparison of different gene ranking algorithms using Liver dataset
Dataset | Classifier | Algorithm | |||
|---|---|---|---|---|---|
| Â | Â | Gain Ratio | GA/KNN | GE | MF-GE |
Liver | C4.5 | 84.88 | 88.33 ± 0.94 | 87.09 ± 0.79 | 88.19 ± 0.56 |
|  | Random Forests | 89.65 | 90.31 ± 1.11 | 91.87 ± 0.94 | 93.13 ± 1.18 |
|  | 3-Nearest Neighbor | 87.76 | 90.46 ± 0.65 | 93.57 ± 0.57 | 93.39 ± 0.79 |
|  | 7-Nearest Neighbor | 87.65 | 89.53 ± 0.56 | 91.91 ± 0.69 | 92.54 ± 0.57 |
|  | Naive Bayes | 89.05 | 90.85 ± 0.51 | 92.70 ± 0.67 | 93.63 ± 0.64 |
| Â | Mean | 87.80 | 89.90 | 91.43 | 92.18 |
|  | Majority Voting | 89.02 | 91.60 ± 0.36 | 93.37 ± 0.46 | 93.80 ± 0.47 |