Multi-class Classification on Wine
97.59AccuracyMulticlass TPMSVM
Evaluation results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Multiclass TPMSVMFormulation=Robust, Classifier Type=Linear2023.06 | 97.59 | — | — | — | — | — | — | — | — | — | |
| Multiclass TPMSVMFormulation=Deterministic, Classifier Type=Nonlinear2023.06 | 97.41 | — | — | — | — | — | — | — | — | — | |
| Multiclass TPMSVMFormulation=Robust, Classifier Type=Nonlinear2023.06 | 97.23 | — | — | — | — | — | — | — | — | — | |
| SVM [32]Formulation=Deterministic, Classifier Type=Nonlinear2023.06 | 97.14 | — | — | — | — | — | — | — | — | — | |
| Multiclass TPMSVMFormulation=Deterministic, Classifier Type=Linear2023.06 | 97 | — | — | — | — | — | — | — | — | — | |
| SVM [32]Formulation=Robust, Classifier Type=Linear2023.06 | 96.32 | — | — | — | — | — | — | — | — | — | |
| SVM [32]Formulation=Robust, Classifier Type=Nonlinear2023.06 | 96.09 | — | — | — | — | — | — | — | — | — | |
| SVM [32]Formulation=Deterministic, Classifier Type=Linear2023.06 | 96 | — | — | — | — | — | — | — | — | — | |
| DEMVApproach=DEMV2026.03 | 45.7 | 25.8 | 26.1 | 20.5 | 13.7 | 11.7 | 13.5 | 13.7 | 18.3 | 14.5 | |
| GEG-SPApproach=GEG-SP2026.03 | 45.1 | 27.2 | 26.2 | 21.6 | 1 | 3.3 | 1.1 | 1 | 6.7 | 2.9 | |
| GEG-SPApproach=GEG-SP2026.03 | 45.1 | 27.2 | 26.2 | 21.6 | 1 | 3.3 | 1.1 | 1 | 6.7 | 2.9 | |
| GEG-CPApproach=GEG-CP2026.03 | 44.9 | 26.6 | 25.5 | 18.4 | 0.5 | 0.1 | 0.5 | 0.5 | 0.2 | 1 | |
| GEG-CPApproach=GEG-CP2026.03 | 44.9 | 26.6 | 25.5 | 18.4 | 0.5 | 0.1 | 0.5 | 0.5 | 0.2 | 1 | |
| GEG-EOApproach=GEG-EO2026.03 | 43.9 | 23.4 | 25.2 | 17.9 | 0.1 | 1.7 | 0.1 | 0.1 | 0.8 | 0.2 | |
| GEG-EOApproach=GEG-EO2026.03 | 43.9 | 23.4 | 25.2 | 17.9 | 0.1 | 1.7 | 0.1 | 0.1 | 0.8 | 0.2 | |
| BlackboxApproach=Blackbox2026.03 | 24.4 | 24 | 25.7 | 17.2 | 3.6 | 3.3 | 3.4 | 3.6 | 15 | 16.7 |