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ResearchFormerly WizWand

Time Series Forecasting on ETTh1 10% training data (test)

0.421MSEFiCoTS
0.387840.611670.83551.05933Nov 29, 2025Dec 19, 2025Jan 8, 2026Jan 29, 2026Feb 18, 2026Mar 10, 2026Mar 31, 2026
Updated 7mo ago

Evaluation results

MethodLinks
FiCoTSInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=LLM-based, Training data percentage=10%2025.110.4210.438
TimeVLMInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=LLM-based, Training data percentage=10%2025.110.4310.442
TIME-LLMParameters (M)=6.46, Memory (MiB)=3907, Eff.*MSE=0.43, Eff.*MAE=0.402026.030.560.52
GPT4TSInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=LLM-based, Training data percentage=10%2025.110.590.525
GPT4TSParameters (M)=11.7, Memory (MiB)=371.0, Eff.*MSE=0.21, Eff.*MAE=0.212026.030.590.53
TESTParameters (M)=2.00, Memory (MiB)=701, Eff.*MSE=1.24, Eff.*MAE=1.262026.030.590.53
S2IP-LLMInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=LLM-based, Training data percentage=10%2025.110.5930.529
PatchTSTInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=Transformer-based, Training data percentage=10%2025.110.6330.542
FEDformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=Transformer-based, Training data percentage=10%2025.110.6390.561
EFDformerParameters (M)=16.8, Memory (MiB)=87.8, Eff.*MSE=0.12, Eff.*MAE=0.122026.030.640.56
One-for-AllParameters (M)=0.55, Memory (MiB)=2.2, Eff.*MSE=4.37, Eff.*MAE=4.482026.030.650.55
DLinearInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=Non-Transformer-based, Training data percentage=10%2025.110.6910.6
AutoformerParameters (M)=10.53, Memory (MiB)=62.6, Eff.*MSE=0.13, Eff.*MAE=0.162026.030.70.6
AutoformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=Transformer-based, Training data percentage=10%2025.110.7020.596
TimeLLMInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=LLM-based, Training data percentage=10%2025.110.7850.553
TimesNetInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=Non-Transformer-based, Training data percentage=10%2025.110.8690.628
TimesNetParameters (M)=0.63, Memory (MiB)=2.9, Eff.*MSE=3.02, Eff.*MAE=3.462026.030.870.63
iTransformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=Transformer-based, Training data percentage=10%2025.110.910.86
TStationaryParameters (M)=2.02, Memory (MiB)=13.2, Eff.*MSE=0.88, Eff.*MAE=1.052026.030.920.64
ETSformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=Transformer-based, Training data percentage=10%2025.111.180.834
ETSformerParameters (M)=5.28, Memory (MiB)=31.4, Eff.*MSE=0.25, Eff.*MAE=0.312026.031.180.83
InformerParameters (M)=11.33, Memory (MiB)=65.8, Eff.*MSE=0.04, Eff.*MAE=0.092026.031.20.81
ReformerParameters (M)=5.80, Memory (MiB)=33.4, Eff.*MSE=0.08, Eff.*MAE=0.092026.031.250.83