| GMLVQ | Random Forest |
---|
Feature | Rank | Influence score | Rank | Influence score |
---|
PlipHpCL | 1 | 0.159 | 3 | 1.370 |
LF | 2 | 0.127 | 2 | 1.403 |
PlipBN | 3 | 0.063 | 15 | 0.900 |
SecSize | 4 | 0.059 | 19 | 0.854 |
e | 5 | 0.042 | 4 | 1.332 |
PlipCL | 7 | 0.012 | 1 | 1.700 |
ConvCC | 23 | 0.009 | 5 | 1.223 |
- Importance scores for the RF were computed by the MATLAB implementation. Influence scores are in arbitrary units, higher values occur for features important for class discrimination. The values of GMLVQ and the predictor importance values are method-specific and not directly comparable; therefore, the ranks of the top five features are given