Anomaly Detection on Real-world datasets
0.921AUCROCGT
Evaluation Results
| Method | Links | |
|---|---|---|
| GTna=20, Strategy=Ground Truth2023.09 | 0.921 | |
| GTna=10, Strategy=Ground Truth2023.09 | 0.912 | |
| GTna=5, Strategy=Ground Truth2023.09 | 0.902 | |
| ADGym (ML-ensemble)na=20, Algorithm=CatBoost2023.09 | 0.872 | |
| ADGym (ML-single)na=20, Algorithm=CatBoost2023.09 | 0.869 | |
| ADGym (ML-ensemble)na=20, Algorithm=XGBoost2023.09 | 0.869 | |
| ADGym (DL-ensemble)na=20, Meta-feature=2-stage, Meta-predictor=MLP2023.09 | 0.865 | |
| ADGym (ML-single)na=20, Algorithm=XGBoost2023.09 | 0.861 | |
| ADGym (DL-single)na=20, Meta-feature=2-stage, Meta-predictor=MLP2023.09 | 0.859 | |
| ADGym (DL-ensemble)na=20, Meta-feature=end2end, Meta-predictor=MLP2023.09 | 0.857 | |
| ADGym (DL-single)na=20, Meta-feature=end2end, Meta-predictor=MLP2023.09 | 0.85 | |
| ADGym (ML-ensemble)na=10, Algorithm=XGBoost2023.09 | 0.849 | |
| ADGym (ML-ensemble)na=10, Algorithm=CatBoost2023.09 | 0.847 | |
| ADGym (DL-ensemble)na=10, Meta-feature=2-stage, Meta-predictor=MLP2023.09 | 0.843 | |
| ADGym (ML-single)na=10, Algorithm=CatBoost2023.09 | 0.839 | |
| ADGym (DL-ensemble)na=10, Meta-feature=end2end, Meta-predictor=MLP2023.09 | 0.837 | |
| ADGym (DL-single)na=10, Meta-feature=2-stage, Meta-predictor=MLP2023.09 | 0.836 | |
| ADGym (ML-single)na=10, Algorithm=XGBoost2023.09 | 0.836 | |
| ADGym (DL-single)na=10, Meta-feature=end2end, Meta-predictor=MLP2023.09 | 0.833 | |
| ADGym (ML-ensemble)na=5, Algorithm=CatBoost2023.09 | 0.821 | |
| ADGym (ML-ensemble)na=5, Algorithm=XGBoost2023.09 | 0.815 | |
| ADGym (DL-ensemble)na=5, Meta-feature=2-stage, Meta-predictor=MLP2023.09 | 0.813 | |
| ADGym (DL-ensemble)na=5, Meta-feature=end2end, Meta-predictor=MLP2023.09 | 0.813 | |
| ADGym (DL-single)na=5, Meta-feature=end2end, Meta-predictor=MLP2023.09 | 0.811 | |
| ADGym (ML-single)na=5, Algorithm=CatBoost2023.09 | 0.804 | |
| ADGym (ML-single)na=5, Algorithm=XGBoost2023.09 | 0.802 | |
| ADGym (DL-single)na=5, Meta-feature=2-stage, Meta-predictor=MLP2023.09 | 0.8 | |
| RSna=20, Strategy=Random Selection2023.09 | 0.777 | |
| RSna=10, Strategy=Random Selection2023.09 | 0.757 | |
| SSna=20, Strategy=Supervised Selection2023.09 | 0.747 | |
| RSna=5, Strategy=Random Selection2023.09 | 0.735 | |
| SSna=10, Strategy=Supervised Selection2023.09 | 0.696 | |
| SSna=5, Strategy=Supervised Selection2023.09 | 0.613 |