Tabular Anomaly Detection on BreastW
0.9972AUC-ROCLLM-DAS
Evaluation Results
| Method | Links | |
|---|---|---|
| LLM-DASMethod Variant=DRL2025.10 | 0.9972 | |
| AnoLLM-135Mbackbone=SmolLM-135M2026.02 | 0.997 | |
| CausalTAD-135Mbackbone=SmolLM-135M2026.02 | 0.997 | |
| DRL2025.10 | 0.9968 | |
| ICAD-LLMMethod Category=Task-Specific2025.12 | 0.9967 | |
| DRL2026.02 | 0.9965 | |
| CTADBase Detector=DRL2026.02 | 0.9965 | |
| CTADBase Detector=KNN2026.02 | 0.9964 | |
| MCM2026.02 | 0.9955 | |
| MCM2025.10 | 0.9955 | |
| MCMMethod Category=Task-Specific2025.12 | 0.9945 | |
| OCSVM2026.02 | 0.9938 | |
| PCA2026.02 | 0.9938 | |
| OCSVM2025.10 | 0.9938 | |
| PCA2025.10 | 0.9938 | |
| LOF2025.10 | 0.9937 | |
| MCM2026.05 | 0.9936 | |
| RTTAD2026.05 | 0.9933 | |
| AnoLLMModel Size=360M2025.10 | 0.993 | |
| DeepSVDD2026.02 | 0.9925 | |
| DeepSVDD2025.10 | 0.9925 | |
| WFRDAlabeled outliers=52025.12 | 0.992 | |
| AnoLLMModel Size=135M2025.10 | 0.992 | |
| ECODlabeled outliers=52025.12 | 0.991 | |
| AutoEncoder2026.02 | 0.9909 | |
| AutoEncoder2025.10 | 0.9909 | |
| CTADBase Detector=MCM2026.02 | 0.9891 | |
| CODlabeled outliers=52025.12 | 0.989 | |
| REPENlabeled outliers=52025.12 | 0.987 | |
| NPT-AD2025.10 | 0.9848 | |
| GOAD2026.05 | 0.9814 | |
| IForestlabeled outliers=52025.12 | 0.979 | |
| TTAD2026.05 | 0.9779 | |
| ICL2026.02 | 0.9725 | |
| ICL2025.10 | 0.9725 | |
| IForest2026.02 | 0.9719 | |
| IForest2025.10 | 0.9719 | |
| KNN2026.02 | 0.9714 | |
| KNN2025.10 | 0.9714 | |
| DRL2026.05 | 0.966 | |
| ECOD2026.02 | 0.9649 | |
| ECOD2025.10 | 0.9649 | |
| DIF2026.05 | 0.964 | |
| LUNAR2026.05 | 0.9609 | |
| SODlabeled outliers=52025.12 | 0.947 | |
| SLAD2026.05 | 0.9467 | |
| NeuTraLAD2026.02 | 0.9458 | |
| DTE2026.02 | 0.9278 | |
| DTE2025.10 | 0.9278 | |
| DeepSVDDlabeled outliers=52025.12 | 0.924 | |
| ICAD-LLMMethod Category=Universal2025.12 | 0.9173 | |
| ICL2026.05 | 0.886 | |
| IForestMethod Category=Task-Specific2025.12 | 0.862 | |
| DeepSADlabeled outliers=52025.12 | 0.838 | |
| GOADMethod Category=Task-Specific2025.12 | 0.8328 | |
| FEAWADlabeled outliers=52025.12 | 0.827 | |
| Iforest2026.05 | 0.8111 | |
| UniADMethod Category=Universal2025.12 | 0.8072 | |
| DTE2026.02 | 0.791 | |
| EPHAD2026.05 | 0.7801 | |
| DevNetlabeled outliers=52025.12 | 0.764 | |
| DeepSVDD2026.05 | 0.7557 | |
| PCA2026.02 | 0.753 | |
| KNN2026.02 | 0.753 | |
| RCA2026.02 | 0.753 | |
| DAGMMMethod Category=Task-Specific2025.12 | 0.7407 | |
| ECOD2026.02 | 0.737 | |
| GOAD2026.02 | 0.7327 | |
| ACRMethod Category=Universal2025.12 | 0.7296 | |
| PReNetlabeled outliers=52025.12 | 0.704 | |
| NeuTraL ADMethod Category=Universal2025.12 | 0.6764 | |
| NeuTraLAD2026.05 | 0.6669 | |
| LOF2026.05 | 0.6469 | |
| SLAD2026.02 | 0.64 | |
| REPEN2026.02 | 0.639 | |
| LLM-DASMethod Variant=PCA2025.10 | 0.6196 | |
| ICL2026.02 | 0.616 | |
| OCSVM2026.05 | 0.5973 | |
| ECOD2026.05 | 0.5725 | |
| IForest2026.02 | 0.5 | |
| GOAD2026.02 | 0.402 | |
| DeepSVDD2026.02 | 0.401 | |
| NeuTral2026.02 | 0.273 |