Time-Series Anomaly Detection on YAHOO
0.841PrecisionAnomaMind
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| AnomaMindbackbone=Qwen3-8B, agent_framework=agent-lightning, optimization=full fine-tuning2026.02 | 0.841 | 0.837 | 0.821 | 0.835 | 0.834 | |
| Chronospretraining=large-scale2026.02 | 0.61 | 0.859 | 0.684 | 0.812 | 0.741 | |
| TimesFMpretraining=large-scale2026.02 | 0.551 | 0.868 | 0.653 | 0.85 | 0.73 | |
| SR2026.02 | 0.499 | 0.678 | 0.531 | 0.714 | 0.606 | |
| LSTMAD2026.02 | 0.394 | 0.449 | 0.36 | 0.504 | 0.427 | |
| CNN2026.02 | 0.355 | 0.478 | 0.399 | 0.515 | 0.437 | |
| LLMAD2026.02 | 0.261 | 0.536 | 0.352 | 0.371 | 0.38 | |
| M2N22026.02 | 0.23 | 0.459 | 0.296 | 0.49 | 0.369 | |
| LLM-TSAD2026.02 | 0.196 | 0.734 | 0.255 | 0.255 | 0.36 | |
| FFT-AD2026.02 | 0.134 | 0.225 | 0.135 | 0.193 | 0.172 | |
| OFA2026.02 | 0.023 | 0.193 | 0.103 | 0.153 | 0.118 | |
| TransAD2026.02 | 0.007 | 0.015 | 0.082 | 0.113 | 0.054 |