Classification on Circle in a Square mlbench
94.33AccuracyKFDA Forest
Evaluation results
| Method | Links | ||
|---|---|---|---|
| KFDA ForestValidation=5 × five-fold cross-validation, Ensemble size=50, Base classifier=unpruned decision tree, Kernel=Radial Basis Function (RBF)2026.06 | 94.33 | 0.0058 | |
| AdaBoostValidation=5 × five-fold cross-validation, Ensemble size=50, Base classifier=unpruned decision tree2026.06 | 91.67 | 0.0108 | |
| BaggingValidation=5 × five-fold cross-validation, Ensemble size=50, Base classifier=unpruned decision tree2026.06 | 89.13 | 0.0112 | |
| Random ForestValidation=5 × five-fold cross-validation, Ensemble size=50, Base classifier=unpruned decision tree2026.06 | 87.8 | 0.0117 | |
| CLDA ForestValidation=5 × five-fold cross-validation, Ensemble size=50, Base classifier=unpruned decision tree2026.06 | 87.27 | 0.0192 | |
| Rotation ForestValidation=5 × five-fold cross-validation, Ensemble size=50, Base classifier=unpruned decision tree2026.06 | 82.87 | 0.0084 |