Multiclass classification on Otto 9 classes (test)
0.4566Cross-Entropy LossSketchBoost
Evaluation results
| Method | Links | |
|---|---|---|
| SketchBoostsketching strategy=Random Projection, k selection policy=best k2022.11 | 0.4566 | |
| XGBoostoutput strategy=one-vs-all2022.11 | 0.4599 | |
| SketchBoostsketching strategy=Random Sampling, k selection policy=best k2022.11 | 0.4636 | |
| CatBoostoutput strategy=multioutput2022.11 | 0.4658 | |
| SketchBoost Fulloutput strategy=multioutput2022.11 | 0.4697 | |
| SketchBoostsketching strategy=Top Outputs, k selection policy=best k2022.11 | 0.4715 | |
| TabNetoutput strategy=multioutput2022.11 | 0.5363 |