Outlier Detection on Yeast (AUC-ROC)
0.7674AUC-ROCLLM-DAS
Evaluation Results
| Method | Links | |
|---|---|---|
| LLM-DASMethod Variant=PCA2025.10 | 0.7674 | |
| AnoLLMModel Size=135M2025.10 | 0.744 | |
| AnoLLMModel Size=360M2025.10 | 0.73 | |
| DevNetlabeled outliers=52025.12 | 0.602 | |
| PReNetlabeled outliers=52025.12 | 0.6 | |
| FEAWADlabeled outliers=52025.12 | 0.573 | |
| DRL2025.10 | 0.512 | |
| ICL2025.10 | 0.5076 | |
| DeepSVDDlabeled outliers=52025.12 | 0.491 | |
| LLM-DASMethod Variant=DRL2025.10 | 0.4905 | |
| DeepSVDD2025.10 | 0.479 | |
| DeepSADlabeled outliers=52025.12 | 0.474 | |
| NPT-AD2025.10 | 0.4691 | |
| LOF2025.10 | 0.4571 | |
| AutoEncoder2025.10 | 0.4503 | |
| SODlabeled outliers=52025.12 | 0.449 | |
| OCSVM2025.10 | 0.4483 | |
| ECOD2025.10 | 0.4464 | |
| CODlabeled outliers=52025.12 | 0.446 | |
| DTE2025.10 | 0.4458 | |
| ECODlabeled outliers=52025.12 | 0.445 | |
| KNN2025.10 | 0.4366 | |
| PCA2025.10 | 0.4324 | |
| IForestlabeled outliers=52025.12 | 0.43 | |
| MCM2025.10 | 0.4259 | |
| IForest2025.10 | 0.4095 | |
| WFRDAlabeled outliers=52025.12 | 0.395 | |
| REPENlabeled outliers=52025.12 | 0.383 |