Table 4 Important features identified by various feature selection methods for classification task (ranked in the descending order of their importance)
From: A novel sensitivity-based method for feature selection
Method | Feature ranking |
|---|---|
Vehicle dataset | |
 ReliefF | 8, 7, 12, 9, 3, 11, 18, 4, 2, 1, 13, 10, 16, 14, 17, 6, 15, 5 |
 Symmetric uncertainty | 12, 7, 8, 11, 9, 6, 3, 4, 1, 13, 2, 14, 10, 17, 18, 5, 16, 15 |
 Info gain | 12, 7, 8, 11, 9, 3, 6, 2, 1, 4, 13, 10, 14, 17, 18, 5, 16, 15 |
 Gain ratio | 11, 9, 12, 7, 4, 8, 6, 3, 5, 18, 13, 14, 1, 2, 16, 10, 15, 17 |
 Chi-squared | 12, 7, 8, 9, 11, 3, 6, 1, 2, 10, 14, 13, 4, 17, 18, 5, 16, 15 |
 CS-FS | 10, 8, 5, 17, 14, 18, 11, 3, 6, 12, 7, 1, 9, 4, 13, 2, 15, 16 |
Segmentation dataset | |
 ReliefF | 11, 16, 18, 9, 12, 10, 2, 15, 14, 13, 17, 1, 5, 7, 3, 4, 6, 8 |
 Symmetric uncertainty | 18, 10, 9, 16, 12, 11, 15, 17, 2, 14, 13, 7, 8, 5, 6, 3, 4, 1 |
 Info gain | 18, 9, 12, 16, 10, 11, 15, 17, 13, 14, 2, 7, 8, 5, 6, 3, 4, 1 |
 Gain ratio | 10, 11, 9, 16, 18, 2, 12, 14, 15, 17, 13, 8, 7, 5, 6, 3, 4, 1 |
 Chi-squared | 18, 12, 9, 16, 10, 11, 13, 15, 17, 14, 2, 7, 8, 5, 6, 3, 4, 1 |
 CS-FS | 2, 18, 15, 13, 10, 16, 11, 12, 17, 9, 14, 6, 8, 7, 5, 4, 3, 1 |
Breast cancer dataset | |
 ReliefF | 28, 8, 21, 23, 3, 1, 7, 24, 4, 27, 26, 6, 22, 25, 11, 2, 14, 13, 29, 30, 10, 18, 5, 16, 9, 17, 19, 15, 12, 20 |
 Symmetric uncertainty | 23, 21, 24, 28, 8, 3, 7, 4, 1, 27, 14, 11, 13, 6, 26, 17, 2, 18, 22, 25, 29, 16, 5, 30, 9, 19, 20, 10, 12, 15 |
 Info gain | 23, 24, 21, 28, 8, 3, 4, 1, 7, 14, 27, 11, 13, 26, 6, 17, 18, 22, 2, 29, 16, 25, 9, 5, 30, 20, 19, 10, 12, 15 |
 Gain ratio | 23, 21, 24, 28, 8, 7, 27, 3, 4, 1, 14, 6, 11, 13, 26, 17, 2, 19, 18, 25, 22, 29, 5, 16, 30, 9, 20, 12, 10, 15 |
 Chi-squared | 23, 21, 24, 28, 8, 3, 4, 1, 7, 14, 27, 11, 13, 26, 6, 17, 18, 22, 2, 29, 25, 16, 9, 5, 30, 20, 19, 10, 12, 15 |
 CS-FS | 21, 23, 28, 20, 8, 4, 7, 11, 24, 17, 15, 2, 22, 30, 12, 26, 13, 16, 1, 14, 10, 9, 29, 25, 18, 19, 6, 3, 27, 5 |