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ResearchFormerly WizWand

Time Series Forecasting on GIFT-Eval 05/18/2025 snapshot (test)

0.671MASEPer-dataset
0.605441.047971.49051.93303Sep 8, 2025
Updated 5mo ago

Evaluation results

MethodLinks
Per-datasetType=ERA2025.090.671
TTM-R2-FinetunedType=fine-tuned2025.090.679
timesfm_2_0_500mType=pretrained2025.090.68
TabPFN-TSType=pretrained2025.090.692
chronos_bolt_baseType=pretrained2025.090.725
UnifiedType=ERA2025.090.734
chronos_bolt_smallType=pretrained2025.090.738
PatchTSTType=deep-learning2025.090.762
TEMPO_ensembleType=fine-tuned2025.090.773
VisionTSType=pretrained2025.090.775
Chronos_largeType=pretrained2025.090.781
Moirai_largeType=pretrained2025.090.785
Chronos_baseType=pretrained2025.090.786
Chronos_smallType=pretrained2025.090.8
Moirai_baseType=pretrained2025.090.809
TFTType=deep-learning2025.090.822
N-BEATSType=deep-learning2025.090.842
Moirai_smallType=pretrained2025.090.849
TTM-R2-ZeroshotType=pretrained2025.090.915
DLinearType=deep-learning2025.090.952
Auto_ArimaType=statistical2025.090.964
TimesFMType=pretrained2025.090.967
TTM-R1-ZeroshotType=pretrained2025.090.969
Auto_ThetaType=statistical2025.090.978
TIDEType=deep-learning2025.090.98
Seasonal_NaiveType=statistical2025.091
TimerType=pretrained2025.091.019
Auto_ETSType=statistical2025.091.088
Lag-LlamaType=pretrained2025.091.102
DeepARType=deep-learning2025.091.206
NaiveType=statistical2025.091.26
CrossformerType=deep-learning2025.092.31