Outlier Detection on Mushroom 1
89.9APWFRDA
Evaluation results
| Method | Links | |
|---|---|---|
| WFRDAlabeled outliers=52025.12 | 89.9 | |
| WFRDAlabeled data ratio=1%2025.12 | 89.77 | |
| FRODlabeled data ratio=1%2025.12 | 89.63 | |
| GDOFlabeled outliers=52025.12 | 89.4 | |
| PReNetlabeled data ratio=1%2025.12 | 85.9 | |
| FEAWADlabeled outliers=52025.12 | 85.2 | |
| FEAWADlabeled data ratio=1%2025.12 | 83.63 | |
| DevNetlabeled data ratio=1%2025.12 | 83.5 | |
| DevNetlabeled outliers=52025.12 | 83.5 | |
| PReNetlabeled outliers=52025.12 | 83 | |
| DeepSADlabeled outliers=52025.12 | 67.5 | |
| MFGADlabeled data ratio=1%2025.12 | 64.44 | |
| IForestlabeled data ratio=1%2025.12 | 61.45 | |
| ECODlabeled outliers=52025.12 | 48.3 | |
| REPENlabeled outliers=52025.12 | 41.1 | |
| DeepSVDDlabeled data ratio=1%2025.12 | 32.83 | |
| DeepSADlabeled data ratio=1%2025.12 | 28.28 | |
| REPENlabeled data ratio=1%2025.12 | 25.52 | |
| LUNARlabeled outliers=52025.12 | 23.6 | |
| DeepSVDDlabeled outliers=52025.12 | 17.9 | |
| DIFlabeled outliers=52025.12 | 9.8 | |
| ECODlabeled data ratio=1%2025.12 | 4.99 |