Classification on Two spiral mlbench
99.84AccuracyKFDA 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 | 99.84 | 0.0008 | |
| Random ForestValidation=5 × five-fold cross-validation, Ensemble size=50, Base classifier=unpruned decision tree2026.06 | 97.12 | 0.0074 | |
| AdaBoostValidation=5 × five-fold cross-validation, Ensemble size=50, Base classifier=unpruned decision tree2026.06 | 97.08 | 0.0041 | |
| BaggingValidation=5 × five-fold cross-validation, Ensemble size=50, Base classifier=unpruned decision tree2026.06 | 96.76 | 0.0068 | |
| Rotation ForestValidation=5 × five-fold cross-validation, Ensemble size=50, Base classifier=unpruned decision tree2026.06 | 92.44 | 0.1602 | |
| CLDA ForestValidation=5 × five-fold cross-validation, Ensemble size=50, Base classifier=unpruned decision tree2026.06 | 90.16 | 0.0142 |