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Time-series Forecasting on ETT2

0.46RMSELPTM
0.40560.77281.141.5072Nov 19, 2023

Evaluation results

MethodLinks
LPTMtraining_mode=fine-tuned2023.110.46——
LPTM-OnlyLastMasktraining_mode=fine-tuned2023.110.48——
TiDEtraining_mode=fine-tuned2023.110.49——
LLM-Timetraining_mode=fine-tuned2023.110.49——
TimesFMtraining_mode=fine-tuned2023.110.49——
LPTMzero-shot=true2023.110.49——
TFTtraining_mode=fine-tuned2023.110.51——
Chronostraining_mode=fine-tuned2023.110.52——
LPTM-OnlyRandMasktraining_mode=fine-tuned2023.110.52——
MOIRAIzero-shot=true2023.110.52——
LPTM-NoLinProbtraining_mode=fine-tuned2023.110.53——
LLM-Timezero-shot=true2023.110.54——
MOIRAItraining_mode=fine-tuned2023.110.55——
SimMTMtraining_mode=fine-tuned2023.110.55——
LPTM-NoSegmenttraining_mode=fine-tuned2023.110.55——
Chronoszero-shot=true2023.110.56——
MICNtraining_mode=fine-tuned2023.110.57——
Lag-LLAMAtraining_mode=fine-tuned2023.110.57——
LPTM-NoPreTraintraining_mode=fine-tuned2023.110.57——
iTransformertraining_mode=fine-tuned2023.110.59——
TimesFMzero-shot=true2023.110.59——
N-HITStraining_mode=fine-tuned2023.110.62——
TimesNettraining_mode=fine-tuned2023.110.62——
PatchTSTtraining_mode=fine-tuned2023.110.63——
AutoARIMAtraining_mode=fine-tuned2023.110.64——
Informertraining_mode=fine-tuned2023.110.71——
Autoformertraining_mode=fine-tuned2023.110.82——
STEPtraining_mode=fine-tuned2023.110.93——
Lag-LLAMAzero-shot=true2023.111.06——
ColaGNNtraining_mode=fine-tuned2023.111.19——
EpiFNPtraining_mode=fine-tuned2023.111.25——
TS-TCCtraining_mode=fine-tuned2023.111.29——
TS-TCCzero-shot=true2023.111.57——
SimMTMzero-shot=true2023.111.57——
TS2Vectraining_mode=fine-tuned2023.111.74——
TS2Veczero-shot=true2023.111.82——
ChronosContext length=512, Prediction horizon=962026.04—0.03570.12
SundialContext length=512, Prediction horizon=962026.04—0.02450.0958
Time-MoEContext length=512, Prediction horizon=962026.04—0.0840.1809
TimerContext length=512, Prediction horizon=962026.04—0.03610.125
WaveMoEContext length=512, Prediction horizon=962026.04—0.03420.1226