Table 10.
Best macro-avg results for each prediction schema in the Multi-Class scenario.
| Prediction Schema | Feature(s) | Classifier(s) | Resampling(s) | F1-Score |
|---|---|---|---|---|
| Individual | LBP | MLP | RENN or AllKNN | 0.6491 |
| Early Fusion | BSIF & EQP & LPQ | MLP | TomekLink | 0.5563 |
| Late Fusion (Top-5) | LBP | MLP | AllKNN & RENN | 0.6491 |
| Late Fusion (Top-Features) | BSIF & LBP | MLP | RENN & SMOTE-B2 | 0.6491 |
| Late Fusion (Top-Classifiers) | LDN & LETRIST | DT & KNN-3 | RENN or None | 0.4500 |