Table 5 Performance of different feature selection algorithm achieved by F-test, MIC, RFE, Lasso, HAFS (\(\alpha =0.5\)) using Random Forest
Method | Label | Precision (%) | Recall (%) | Accuracy (%) | F-measure (%) |
|---|---|---|---|---|---|
F-test | 1 | 86.59 | 91.66 | 87.32 | 89.05 |
2 | 78.32 | 71.99 | 90.51 | 75.02 | |
3 | 74.62 | 64.67 | 97.2 | 69.29 | |
4 | 71.43 | 67.52 | 88.66 | 69.42 | |
MIC | 1 | 87.4 | 93.09 | 88.69 | 90.16 |
2 | 76.75 | 75.04 | 90.91 | 75.89 | |
3 | 88.0 | 70.06 | 97.98 | 78.01 | |
4 | 73.42 | 65.59 | 88.27 | 69.28 | |
RFE | 1 | 84.82 | 93.32 | 86.99 | 88.87 |
2 | 81.29 | 77.26 | 92.28 | 79.23 | |
3 | 88.07 | 61.15 | 97.59 | 72.18 | |
4 | 75.43 | 63.97 | 88.53 | 69.23 | |
Lasso | 1 | 87.69 | 93.44 | 89.05 | 90.47 |
2 | 77.84 | 73.85 | 91.0 | 75.79 | |
3 | 80.45 | 68.15 | 97.52 | 73.79 | |
4 | 74.69 | 67.69 | 88.85 | 71.02 | |
HAFS | 1 | 92.21 | 95.52 | 93.06 | 93.84 |
2 | 93.17 | 91.58 | 96.84 | 92.37 | |
3 | 95.14 | 95.8 | 99.58 | 95.47 | |
4 | 88.43 | 80.75 | 94.3 | 84.42 |