Classification on Red Wine (Precision)
75PrecisionCSVM
Evaluation Results
| Method | Links | |
|---|---|---|
| CSVMWhitening Model=Cholesky2025.04 | 75 | |
| SVMKernel=Linear, Whitening Model=ZCA2025.04 | 74.5 | |
| SVMKernel=Linear2025.04 | 73.3 | |
| SVMKernel=Linear, Whitening Model=PCA2025.04 | 73.1 | |
| SVMKernel=Poly2025.04 | 70.9 | |
| SVMKernel=RBF2025.04 | 65.1 | |
| SVMKernel=Sigmoid2025.04 | 42 | |
| ART2025.08 | 35.83 | |
| ROS2025.08 | 33.93 | |
| LDAM+DRW2025.08 | 33.92 | |
| SMOTE2025.08 | 33.69 | |
| Focal Loss2025.08 | 33.12 | |
| Baseline2025.08 | 32.51 | |
| MSMOTE2025.08 | 30.94 | |
| OHEM2025.08 | 29.73 | |
| Cost-Sensitive Learning2025.08 | 28.79 | |
| RUS2025.08 | 23.75 | |
| nearmiss2025.08 | 20.94 |