Time Series Forecasting on Traffic dataset clean (test)
0.1545MAECo-TSFA
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Co-TSFAAnomaly Type=clean2025.12 | 0.1545 | 0.0572 | |
| Co-TSFAAnomaly Type=const, Ratio=0.12025.12 | 0.1675 | 0.0629 | |
| Co-TSFAAnomaly Type=const, Ratio=0.22025.12 | 0.1745 | 0.0667 | |
| Co-TSFAAnomaly Type=const, Ratio=0.32025.12 | 0.1805 | 0.07 | |
| RobustTSFAnomaly Type=gaussian, Ratio=0.22025.12 | 0.1886 | 0.1004 | |
| RobustTSFAnomaly Type=gaussian, Ratio=0.12025.12 | 0.1904 | 0.1096 | |
| RobustTSFAnomaly Type=clean2025.12 | 0.1927 | 0.1099 | |
| RobustTSFAnomaly Type=missing, Ratio=0.12025.12 | 0.193 | 0.1078 | |
| RobustTSFAnomaly Type=gaussian, Ratio=0.32025.12 | 0.1959 | 0.1095 | |
| RobustTSFAnomaly Type=const, Ratio=0.12025.12 | 0.1982 | 0.1133 | |
| RobustTSFAnomaly Type=const, Ratio=0.32025.12 | 0.2029 | 0.1126 | |
| RobustTSFAnomaly Type=const, Ratio=0.22025.12 | 0.2049 | 0.1147 | |
| Co-TSFAAnomaly Type=missing, Ratio=0.12025.12 | 0.2093 | 0.0882 | |
| RobustTSFAnomaly Type=missing, Ratio=0.22025.12 | 0.2236 | 0.1357 | |
| RobustTSFAnomaly Type=missing, Ratio=0.32025.12 | 0.2346 | 0.1401 | |
| Co-TSFAAnomaly Type=gaussian, Ratio=0.12025.12 | 0.2468 | 0.1117 | |
| Co-TSFAAnomaly Type=missing, Ratio=0.22025.12 | 0.2504 | 0.1147 | |
| Co-TSFAAnomaly Type=missing, Ratio=0.32025.12 | 0.2982 | 0.149 | |
| Co-TSFAAnomaly Type=gaussian, Ratio=0.22025.12 | 0.3057 | 0.1571 | |
| Co-TSFAAnomaly Type=gaussian, Ratio=0.32025.12 | 0.3544 | 0.1956 |