Anomaly Detection on NAB (test)
99.6F1 ScoreCS-LSTMs
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| CS-LSTMs2026.02 | 99.6 | — | — | — | 99.2 | 100 | 91.8 | 93.6 | 90.1 | |
| KAN-ADTraining Dataset=KPI2026.02 | 99 | — | — | — | 98.1 | 100 | — | — | — | |
| CS-LSTMsTraining Dataset=KPI2026.02 | 99 | — | — | — | 98 | 100 | — | — | — | |
| KAN-AD2026.02 | 99 | — | — | — | 98.1 | 100 | 90 | 89 | 91.1 | |
| Informer2026.02 | 97.3 | — | — | — | 97.1 | 97.4 | 89.2 | 87.8 | 90.7 | |
| FCVAE2026.02 | 97.2 | — | — | — | 94.6 | 100 | 89.9 | 88.8 | 91 | |
| InformerTraining Dataset=KPI2026.02 | 97.1 | — | — | — | 96.4 | 97.8 | — | — | — | |
| Anomaly-Transformer2026.02 | 97.1 | — | — | — | 94.4 | 100 | 91.1 | 89.1 | 93.2 | |
| FCVAETraining Dataset=KPI2026.02 | 96.7 | — | — | — | 93.5 | 100 | — | — | — | |
| Anotransfer2026.02 | 96.5 | — | — | — | 96.2 | 96.8 | 87.1 | 83.7 | 90.8 | |
| Anomaly-TransformerTraining Dataset=KPI2026.02 | 95.7 | — | — | — | 91.8 | 100 | — | — | — | |
| DONUT2026.02 | 93.5 | — | — | — | 93.3 | 93.7 | 79.7 | 82.1 | 77.4 | |
| VQRAE2026.02 | 93.3 | — | — | — | 99 | 88.2 | 89.3 | 80.6 | 100 | |
| SPOT2026.02 | 82.9 | — | — | — | 99.2 | 71.3 | 82.9 | 99.2 | 71.2 | |
| SRCNN2026.02 | 82.8 | — | — | — | 82.5 | 83.2 | 57.5 | 46 | 76.6 | |
| TFAD2026.02 | 73.4 | — | — | — | 74.9 | 71.9 | 24.8 | 26.5 | 23.3 | |
| TFADTraining Dataset=KPI2026.02 | 72.7 | — | — | — | 75.1 | 70.6 | — | — | — | |
| GFPO-FR2026.06 | 21.6 | — | — | — | 31.6 | 19.8 | — | — | — | |
| GFPO-F2026.06 | 21.5 | — | — | — | 32 | 19.8 | — | — | — | |
| Constant-optType=oracle static threshold2026.06 | 18.4 | — | — | — | 14.1 | 31.2 | — | — | — | |
| PPO2026.06 | 9.7 | — | — | — | 14.5 | 11.7 | — | — | — | |
| D-SPOT2026.06 | 8.2 | — | — | — | 16.9 | 9 | — | — | — | |
| PID2026.06 | 5.9 | — | — | — | 18 | 4.5 | — | — | — | |
| Constant2026.06 | 5.8 | — | — | — | 16.9 | 4.6 | — | — | — | |
| CPO2026.06 | 5.8 | — | — | — | 16.9 | 4.6 | — | — | — | |
| GRPO2026.06 | 4.2 | — | — | — | 19.8 | 3.1 | — | — | — | |
| L-GRPO2026.06 | 4.2 | — | — | — | 19.8 | 3.1 | — | — | — | |
| DQN2026.06 | 3.8 | — | — | — | 20.5 | 2.4 | — | — | — | |
| ADT2026.06 | 2.4 | — | — | — | 10.3 | 1.4 | — | — | — | |
| BAYES. CHANGE PT.2016.07 | — | 17.7 | 3.2 | 32.2 | — | — | — | — | — | |
| ETSY SKYLINE2016.07 | — | 35.7 | 27.1 | 44.5 | — | — | — | — | — | |
| HTM2016.07 | — | 65.3 | 58.6 | 69.4 | — | — | — | — | — | |
| PERFECT2016.07 | — | 100 | 100 | 100 | — | — | — | — | — | |
| RANDOM2016.07 | — | 11 | 1.2 | 19.5 | — | — | — | — | — | |
| SLIDING THRESHOLD2016.07 | — | 15 | 0 | 30.1 | — | — | — | — | — | |
| TWITTER ADVEC2016.07 | — | 47.1 | 33.6 | 53.5 | — | — | — | — | — |