Outlier Detection on 39 Benchmark Datasets
0p-valueMetaEns
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MetaEnsComparison Baseline=Random Selection2026.05 | 0 | 0.0939 | 79.5 | |
| MetaEnsComparison Baseline=DAGMM2026.05 | 0 | 0.1605 | 84.6 | |
| MetaEnsComparison Baseline=DeepSVDD2026.05 | 0 | 0.2272 | 84.6 | |
| MetaEnsComparison Baseline=ROBOD2026.05 | 0 | 0.1173 | 79.5 | |
| MetaEnsComparison Baseline=TCCM2026.05 | 0 | 0.1379 | 76.9 | |
| MetaEnsComparison Baseline=RDA2026.05 | 0.0001 | 0.1599 | 76.9 | |
| MetaEnsComparison Baseline=Random Ensemble2026.05 | 0.0002 | 0.0662 | 74.4 | |
| MetaEnsComparison Baseline=LUNAR2026.05 | 0.0004 | 0.1284 | 71.8 | |
| MetaEnsComparison Baseline=DTE-C2026.05 | 0.001 | 0.1164 | 71.8 | |
| MetaEnsComparison Baseline=RandNet2026.05 | 0.0013 | 0.0884 | 71.8 | |
| MetaEnsComparison Baseline=LOF2026.05 | 0.0022 | 0.1052 | 69.2 | |
| MetaEnsComparison Baseline=LSCP2026.05 | 0.0047 | 0.0876 | 66.7 | |
| MetaEnsComparison Baseline=Global Best2026.05 | 0.005 | 0.0438 | 71.8 | |
| MetaEnsComparison Baseline=Mega Ensemble2026.05 | 0.0096 | 0.0384 | 66.7 | |
| MetaEnsComparison Baseline=IForest2026.05 | 0.0151 | 0.0378 | 64.1 | |
| MetaEnsComparison Baseline=ELECT-12026.05 | 0.0314 | 0.0222 | 66.7 | |
| MetaEnsComparison Baseline=ELECT-102026.05 | 0.0386 | 0.0213 | 61.5 | |
| MetaEnsComparison Baseline=MetaOD2026.05 | 0.039 | 0.0275 | 61.5 |