Anomaly Detection on Dataset 2 (test)
0.639AUROCDiT1D
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| DiT1DCategory=Diffusion-based2026.05 | 0.639 | 0.0023 | 7 | |
| FeatureBaggingCategory=Classical2026.05 | 0.629 | 0.0026 | 3 | |
| LOFCategory=Classical2026.05 | 0.625 | 0.0024 | 3 | |
| OCSVMCategory=Classical2026.05 | 0.595 | 0.002 | 0 | |
| KNNCategory=Classical2026.05 | 0.588 | 0.0026 | 5 | |
| PlanarFlowCategory=Deep Learning2026.05 | 0.58 | 0.0018 | 5 | |
| ECODCategory=Classical2026.05 | 0.562 | 0.0023 | 4 | |
| PCACategory=Classical2026.05 | 0.558 | 0.0021 | 4 | |
| LODACategory=Classical2026.05 | 0.548 | 0.0021 | 6 | |
| IForestCategory=Classical2026.05 | 0.546 | 0.0026 | 4 | |
| DTE-IGCategory=Diffusion-based2026.05 | 0.545 | 0.0055 | 5 | |
| HBOSCategory=Classical2026.05 | 0.538 | 0.0025 | 5 | |
| MCDCategory=Classical2026.05 | 0.53 | 0.0015 | 3 | |
| COPODCategory=Classical2026.05 | 0.525 | 0.002 | 4 | |
| TabDDPMCategory=Diffusion-based2026.05 | 0.523 | 0.0015 | 2 | |
| DTE-CCategory=Diffusion-based2026.05 | 0.503 | 0.0012 | 2 | |
| SLADCategory=Deep Learning2026.05 | 0.463 | 0.0012 | 2 | |
| DROCCCategory=Deep Learning2026.05 | 0.431 | 0.001 | 1 | |
| GANomalyCategory=Deep Learning2026.05 | 0.426 | 0.0011 | 2 | |
| DAGMMCategory=Deep Learning2026.05 | 0.425 | 0.0011 | 2 | |
| DIFCategory=Deep Learning2026.05 | 0.415 | 0.001 | 1 | |
| GOADCategory=Deep Learning2026.05 | 0.399 | 0.001 | 1 |