Classification on Wine (5-fold CV)
98.3AccuracyAtomic forests
Evaluation Results
| Method | Links | |
|---|---|---|
| Atomic forestsN=178, d=13, Config=depth-1 (L1)2026.05 | 98.3 | |
| FRRCross-validation=5-fold2025.12 | 97.22 | |
| FGRT*Cross-validation=5-fold, Partitioning Strategy=Optimized separability-based2025.12 | 96.62 | |
| Best Fusionvariant=Best-performing fusion variant2025.12 | 96.6 | |
| Ensemble-KNNvalidation=5-fold cross-validation2025.11 | 96.1 | |
| KNN-Distancevalidation=5-fold cross-validation2025.11 | 96.1 | |
| XGBoostN=178, d=13, Config=depth-1 (L1)2026.05 | 96.1 | |
| KNN-Uniformvalidation=5-fold cross-validation2025.11 | 95.5 | |
| DW-KNNvalidation=5-fold cross-validation2025.11 | 95 | |
| KNN-Kernelvalidation=5-fold cross-validation2025.11 | 95 | |
| FGRTCross-validation=5-fold, Partitioning Strategy=Default quantile2025.12 | 94.41 | |
| Classicaltype=Classical baseline2025.12 | 94.3 | |
| Residual-6q-Deeparchitecture=Residual quantum circuit2025.12 | 93.2 | |
| Compactness-KNNvalidation=5-fold cross-validation2025.11 | 92.7 | |
| C4.5Cross-validation=5-fold2025.12 | 92.08 | |
| FGACross-validation=5-fold2025.12 | 91.67 | |
| CARTCross-validation=5-fold2025.12 | 89.87 | |
| RIPPERCross-validation=5-fold2025.12 | 86.2 | |
| Quantumtype=Quantum-only baseline2025.12 | 30.8 |