Research Article
Feature Selection of the Rich Model Based on the Correlation of Feature Components
Table 2
The performances of the original s1-minmax22h submodel of SRM and the subfeatures selected by different methods.
| Payload | (325-D) | Random | Proposed | Number of feature components | | Number of feature components | |
| 0.1 | 0.5397 | 82 | 0.5162 | 82 | 0.5391 | 0.2 | 0.5873 | 81 | 0.5567 | 81 | 0.5828 | 0.3 | 0.6278 | 80 | 0.5432 | 80 | 0.6266 | 0.4 | 0.6709 | 84 | 0.5994 | 84 | 0.6686 | 0.5 | 0.7053 | 81 | 0.6274 | 81 | 0.7046 |
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