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ResearchFormerly WizWand

Time Series Forecasting on ETTh2 10% train (test)

0.341MSEFiCoTS
0.199841.152672.10553.05833Nov 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%2025.110.3410.389
TimeVLMInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=LLM-based, Training data percentage=10%2025.110.3610.405
TIME-LLMParameters (M)=6.46, Memory (MiB)=3907, Eff.*MSE=0.43, Eff.*MAE=0.402026.030.370.4
GPT4TSInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=LLM-based, Training data percentage=10%2025.110.3970.421
GPT4TSParameters (M)=11.7, Memory (MiB)=371.0, Eff.*MSE=0.21, Eff.*MAE=0.212026.030.40.42
TESTParameters (M)=2.00, Memory (MiB)=701, Eff.*MSE=1.24, Eff.*MAE=1.262026.030.40.43
PatchTSTInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=Transformer-based, Training data percentage=10%2025.110.4150.431
S2IP-LLMInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=LLM-based, Training data percentage=10%2025.110.4190.439
TimeLLMInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=LLM-based, Training data percentage=10%2025.110.4240.441
One-for-AllParameters (M)=0.55, Memory (MiB)=2.2, Eff.*MSE=4.37, Eff.*MAE=4.482026.030.430.44
TStationaryParameters (M)=2.02, Memory (MiB)=13.2, Eff.*MSE=0.88, Eff.*MAE=1.052026.030.460.45
FEDformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=Transformer-based, Training data percentage=10%2025.110.4660.475
EFDformerParameters (M)=16.8, Memory (MiB)=87.8, Eff.*MSE=0.12, Eff.*MAE=0.122026.030.470.48
TimesNetInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=Non-Transformer-based, Training data percentage=10%2025.110.4790.465
TimesNetParameters (M)=0.63, Memory (MiB)=2.9, Eff.*MSE=3.02, Eff.*MAE=3.462026.030.480.47
AutoformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=Transformer-based, Training data percentage=10%2025.110.4880.499
iTransformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=Transformer-based, Training data percentage=10%2025.110.4890.483
AutoformerParameters (M)=10.53, Memory (MiB)=62.6, Eff.*MSE=0.13, Eff.*MAE=0.162026.030.490.5
DLinearInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=Non-Transformer-based, Training data percentage=10%2025.110.6050.538
ETSformerParameters (M)=5.28, Memory (MiB)=31.4, Eff.*MSE=0.25, Eff.*MAE=0.312026.030.890.71
ETSformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=Transformer-based, Training data percentage=10%2025.110.8940.713
ReformerParameters (M)=5.80, Memory (MiB)=33.4, Eff.*MSE=0.08, Eff.*MAE=0.092026.033.481.49
InformerParameters (M)=11.33, Memory (MiB)=65.8, Eff.*MSE=0.04, Eff.*MAE=0.092026.033.871.51