Binary Classification on Higgs boson decay dataset
0.8304AUCXGBoost
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| XGBoostTime per Tree (sec)=0.6841, number of trees=500, maximum depth=8, shrinkage=0.12016.03 | 0.8304 | — | — | |
| scikit-learnTime per Tree (sec)=28.51, number of trees=500, maximum depth=8, shrinkage=0.12016.03 | 0.8302 | — | — | |
| XGBoostTime per Tree (sec)=0.6401, colsample=0.5, number of trees=500, maximum depth=8, shrinkage=0.12016.03 | 0.8245 | — | — | |
| DNN + ReLU + EnsembleActivation=ReLU, Ensemble Size=5, Implementation=Baldi et al., 20152014.12 | 0.803 | 3.39 | — | |
| DNN + ReLUActivation=ReLU, Implementation=Baldi et al., 20152014.12 | 0.802 | 3.37 | — | |
| R.gbmTime per Tree (sec)=1.032, number of trees=500, maximum depth=8, shrinkage=0.12016.03 | 0.6224 | — | — |