Anomaly Detection on cardio
0.988AUCESAD
Evaluation Results
| Method | Links | |
|---|---|---|
| ESADratio of labeled anomalies=0.012020.12 | 0.988 | |
| CTADBase Detector=DRL2026.02 | 0.9658 | |
| PCA2026.02 | 0.9655 | |
| OCSVM2026.02 | 0.9654 | |
| CTADBase Detector=MCM2026.02 | 0.9651 | |
| MCM2026.02 | 0.9603 | |
| DRL2026.02 | 0.9558 | |
| ICL2026.02 | 0.9514 | |
| Deep SADratio of labeled anomalies=0.012020.12 | 0.95 | |
| ICAD-LLMMethod Category=Task-Specific2025.12 | 0.9469 | |
| MCMMethod Category=Task-Specific2025.12 | 0.9434 | |
| DeepSVDD2026.02 | 0.9313 | |
| CTADBase Detector=KNN2026.02 | 0.925 | |
| IForest2026.02 | 0.922 | |
| ICAD-LLMMethod Category=Universal2025.12 | 0.9103 | |
| KNN2026.02 | 0.8979 | |
| DTE2026.02 | 0.8726 | |
| SSAD Hybridratio of labeled anomalies=0.012020.12 | 0.863 | |
| GOADMethod Category=Task-Specific2025.12 | 0.8627 | |
| Deep SVDDratio of labeled anomalies=0.012020.12 | 0.848 | |
| IForestMethod Category=Task-Specific2025.12 | 0.7967 | |
| NeuTraLAD2026.02 | 0.7349 | |
| GOAD2026.02 | 0.6812 | |
| DAGMMMethod Category=Task-Specific2025.12 | 0.6661 | |
| SS-DGMratio of labeled anomalies=0.012020.12 | 0.662 | |
| ACRMethod Category=Universal2025.12 | 0.6551 | |
| NeuTraL ADMethod Category=Universal2025.12 | 0.6375 | |
| ECOD2026.02 | 0.637 | |
| UniADMethod Category=Universal2025.12 | 0.6271 | |
| AutoEncoder2026.02 | 0.567 |