Table 3.
Results of select the best features using maximum weight approach
| NSF | Selected features | |
|---|---|---|
| 0.77 | 1 | 2 |
| 0.72 | 5 | 2, 48, 77, 98, 101 |
| 0.61 | 10 | 2, 33, 37, 48, 67, 77, 93, 98, 101, 105 |
NSF number of selected features, NHL number of hidden layers, u upper bound used to remove the features with lower weights