Classification on B11 mixed features (test)
84.4AccuracyCatBoost
Evaluation results
| Method | Links | |
|---|---|---|
| CatBoostSample size=4000, Validation protocol=5-fold cross-validation2026.05 | 84.4 | |
| Tuned MLPSample size=4000, Validation protocol=5-fold cross-validation2026.05 | 83.6 | |
| GBTSample size=4000, Validation protocol=5-fold cross-validation2026.05 | 82.9 | |
| RFSample size=4000, Validation protocol=5-fold cross-validation2026.05 | 82 | |
| Soft LearningSample size=4000, Validation protocol=5-fold cross-validation2026.05 | 81.9 | |
| KANSample size=4000, Validation protocol=5-fold cross-validation2026.05 | 77.9 |