Classification on 25 Classification Datasets
89.1Mean AccuracyCatBoost
Evaluation results
| Method | Links | |
|---|---|---|
| CatBoostcross-validation=5-fold2026.05 | 89.1 | |
| Grad. Boostingcross-validation=5-fold2026.05 | 88.5 | |
| Soft Learningcross-validation=5-fold2026.05 | 88.2 | |
| Random Forestcross-validation=5-fold2026.05 | 87.8 | |
| Tuned MLPcross-validation=5-fold2026.05 | 85.8 | |
| NeuroSymcross-validation=5-fold2026.05 | 84.1 | |
| KAN-likecross-validation=5-fold2026.05 | 83.2 | |
| Basic MLPcross-validation=5-fold2026.05 | 82.2 | |
| Best-of-3cross-validation=5-fold2026.05 | 79.6 | |
| LR / Ridgecross-validation=5-fold2026.05 | 77.5 |