Outlier Detection on Mushroom2
0.9898AUCDevNet
Evaluation results
| Method | Links | |
|---|---|---|
| DevNetlabeled data percentage=1%2025.12 | 0.9898 | |
| PReNetlabeled data percentage=1%2025.12 | 0.9886 | |
| FRODlabeled data percentage=1%2025.12 | 0.985 | |
| CODlabeled outliers=52025.12 | 0.976 | |
| GDOFLabeled Outliers=52025.12 | 0.972 | |
| FEAWADlabeled data percentage=1%2025.12 | 0.957 | |
| LUNARLabeled Outliers=52025.12 | 0.924 | |
| MFGADlabeled data percentage=1%2025.12 | 0.9155 | |
| DeepSADlabeled outliers=52025.12 | 0.904 | |
| DeepSADLabeled Outliers=52025.12 | 0.904 | |
| DevNetlabeled outliers=52025.12 | 0.892 | |
| DevNetLabeled Outliers=52025.12 | 0.892 | |
| PReNetlabeled outliers=52025.12 | 0.89 | |
| PReNetLabeled Outliers=52025.12 | 0.89 | |
| REPENlabeled outliers=52025.12 | 0.888 | |
| REPENLabeled Outliers=52025.12 | 0.888 | |
| REPENlabeled data percentage=1%2025.12 | 0.8853 | |
| SODlabeled outliers=52025.12 | 0.883 | |
| WFRDAlabeled data percentage=1%2025.12 | 0.8821 | |
| WFRDAlabeled outliers=52025.12 | 0.882 | |
| WFRDALabeled Outliers=52025.12 | 0.882 | |
| IForestlabeled outliers=52025.12 | 0.879 | |
| IForestlabeled data percentage=1%2025.12 | 0.8762 | |
| ECODlabeled outliers=52025.12 | 0.866 | |
| ECODLabeled Outliers=52025.12 | 0.866 | |
| FEAWADlabeled outliers=52025.12 | 0.828 | |
| FEAWADLabeled Outliers=52025.12 | 0.828 | |
| DeepSADlabeled data percentage=1%2025.12 | 0.82 | |
| DeepSVDDlabeled data percentage=1%2025.12 | 0.782 | |
| DIFLabeled Outliers=52025.12 | 0.726 | |
| DeepSVDDlabeled outliers=52025.12 | 0.628 | |
| DeepSVDDLabeled Outliers=52025.12 | 0.628 | |
| ECODlabeled data percentage=1%2025.12 | 0.5 |