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ResearchFormerly WizWand

Time Series Forecasting on ETTh1 5% (train)

0.39MSESSDA
0.3560.58550.8151.0445Nov 29, 2025Dec 26, 2025Jan 22, 2026Feb 18, 2026Mar 17, 2026Apr 13, 2026May 10, 2026
Updated 5mo ago

Evaluation results

MethodLinks
SSDARatio=5%2026.050.390.401
VisionTSRatio=5%2026.050.4090.403
FiCoTSInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=LLM-based2025.110.4260.44
TimeVLMInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=LLM-based2025.110.4420.453
Time-VLMRatio=5%2026.050.4420.453
Time-LLMRatio=5%2026.050.6270.543
TIME-LLMParameters (M)=6.46, Memory (MiB)=3907, Eff.*MSE=0.39, Eff.*MAE=0.38, Few-shot (5% data)=true2026.030.630.55
TimeLLMInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=LLM-based2025.110.6480.549
S^2IP-LLMInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=LLM-based2025.110.650.55
FEDformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Transformer-based2025.110.6580.562
FEDformerRatio=5%2026.050.6580.562
EFDformerParameters (M)=16.8, Memory (MiB)=87.8, Eff.*MSE=0.12, Eff.*MAE=0.13, Few-shot (5% data)=true2026.030.660.56
GPT4TSParameters (M)=11.7, Memory (MiB)=371.0, Eff.*MSE=0.20, Eff.*MAE=0.20, Few-shot (5% data)=true2026.030.680.56
GPT4TSInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=LLM-based2025.110.6810.56
GPT4TSRatio=5%2026.050.6810.56
PatchTSTInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Transformer-based2025.110.6940.569
PatchTSTRatio=5%2026.050.6940.569
One-for-AllParameters (M)=0.55, Memory (MiB)=2.2, Eff.*MSE=3.92, Eff.*MAE=4.17, Few-shot (5% data)=true2026.030.710.57
AutoformerParameters (M)=10.53, Memory (MiB)=62.6, Eff.*MSE=0.18, Eff.*MAE=0.20, Few-shot (5% data)=true2026.030.720.6
AutoformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Transformer-based2025.110.7220.598
DLinearInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Non-Transformer-based2025.110.750.611
DLinearRatio=5%2026.050.750.611
TimesNetParameters (M)=0.63, Memory (MiB)=2.9, Eff.*MSE=2.89, Eff.*MAE=3.39, Few-shot (5% data)=true2026.030.920.64
TimesNetInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Non-Transformer-based2025.110.9250.647
TimesNetRatio=5%2026.050.9250.647
TStationaryParameters (M)=2.02, Memory (MiB)=13.2, Eff.*MSE=0.84, Eff.*MAE=1.03, Few-shot (5% data)=true2026.030.940.64
iTransformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Transformer-based2025.111.070.71
ETSformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Transformer-based2025.111.1890.839
ETSformerParameters (M)=5.28, Memory (MiB)=31.4, Eff.*MSE=0.24, Eff.*MAE=0.29, Few-shot (5% data)=true2026.031.190.84
InformerParameters (M)=11.33, Memory (MiB)=65.8, Eff.*MSE=0.04, Eff.*MAE=0.08, Few-shot (5% data)=true2026.031.220.82
InformerRatio=5%2026.051.2250.817
ReformerParameters (M)=5.80, Memory (MiB)=33.4, Eff.*MSE=0.09, Eff.*MAE=0.17, Few-shot (5% data)=true2026.031.240.83