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ResearchFormerly WizWand

Time Series Forecasting on Traffic dataset clean (test)

0.1545MAECo-TSFA
0.1465040.2004770.254450.308423Dec 12, 2025
Updated 8mo ago

Evaluation results

MethodLinks
Co-TSFAAnomaly Type=clean2025.120.15450.0572
Co-TSFAAnomaly Type=const, Ratio=0.12025.120.16750.0629
Co-TSFAAnomaly Type=const, Ratio=0.22025.120.17450.0667
Co-TSFAAnomaly Type=const, Ratio=0.32025.120.18050.07
RobustTSFAnomaly Type=gaussian, Ratio=0.22025.120.18860.1004
RobustTSFAnomaly Type=gaussian, Ratio=0.12025.120.19040.1096
RobustTSFAnomaly Type=clean2025.120.19270.1099
RobustTSFAnomaly Type=missing, Ratio=0.12025.120.1930.1078
RobustTSFAnomaly Type=gaussian, Ratio=0.32025.120.19590.1095
RobustTSFAnomaly Type=const, Ratio=0.12025.120.19820.1133
RobustTSFAnomaly Type=const, Ratio=0.32025.120.20290.1126
RobustTSFAnomaly Type=const, Ratio=0.22025.120.20490.1147
Co-TSFAAnomaly Type=missing, Ratio=0.12025.120.20930.0882
RobustTSFAnomaly Type=missing, Ratio=0.22025.120.22360.1357
RobustTSFAnomaly Type=missing, Ratio=0.32025.120.23460.1401
Co-TSFAAnomaly Type=gaussian, Ratio=0.12025.120.24680.1117
Co-TSFAAnomaly Type=missing, Ratio=0.22025.120.25040.1147
Co-TSFAAnomaly Type=missing, Ratio=0.32025.120.29820.149
Co-TSFAAnomaly Type=gaussian, Ratio=0.22025.120.30570.1571
Co-TSFAAnomaly Type=gaussian, Ratio=0.32025.120.35440.1956