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Testing accuracy results using 50 most significant automatic features.
| Image Categorization | General Pattern | Type Grading | Grade Grading | |
|---|---|---|---|---|
| Model 1 | Model 2 | |||
| 1000 features | 88.3% | 93.9% | 72.2% | 83.9% |
| PCA | 86.4% | 91.2% | 72.2% | 81.2% |
| ECFS | 75.9% | 86.5% | 68.4% | 80.0% |
| ILFS | 70.6% | 79.3% | 66.1% | 78.5% |
| Fisher | 74.6% | 84.2% | 65.7% | 75.6% |
PCA, principal component analysis; ECFS, ensemble-based classifier feature selection; ILFS, infinite latent feature selection.
