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ResearchFormerly WizWand

Time Series Forecasting on ETTm1 (5% train)

0.314MSETime-VLM
0.275760.533880.7921.05012Nov 29, 2025Dec 26, 2025Jan 22, 2026Feb 18, 2026Mar 17, 2026Apr 13, 2026May 10, 2026
Updated 5mo ago

Evaluation results

MethodLinks
Time-VLMforecast_horizon=96, training_data_ratio=5%2026.050.3140.357
Time-LLMforecast_horizon=96, training_data_ratio=5%2026.050.3160.377
SSDAforecast_horizon=96, training_data_ratio=5%2026.050.330.342
DLinearforecast_horizon=96, training_data_ratio=5%2026.050.3320.374
FiCoTSInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=LLM-based2025.110.3610.382
SSDARatio=5%2026.050.3630.369
TimeVLMInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=LLM-based2025.110.3640.385
Time-VLMRatio=5%2026.050.3640.385
SSDAforecast_horizon=336, training_data_ratio=5%2026.050.3690.373
Time-VLMforecast_horizon=336, training_data_ratio=5%2026.050.3730.391
GPT4TSforecast_horizon=96, training_data_ratio=5%2026.050.3860.405
PatchTSTforecast_horizon=96, training_data_ratio=5%2026.050.3990.414
DLinearInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Non-Transformer-based2025.110.40.417
DLinearRatio=5%2026.050.40.417
DLinearforecast_horizon=336, training_data_ratio=5%2026.050.4020.416
Time-LLMRatio=5%2026.050.4250.434
TIME-LLMParameters (M)=6.46, Memory (MiB)=3907, Eff.*MSE=0.39, Eff.*MAE=0.38, Few-shot (5% data)=true2026.030.430.44
VisionTSforecast_horizon=96, training_data_ratio=5%2026.050.4440.433
Time-LLMforecast_horizon=336, training_data_ratio=5%2026.050.450.424
S^2IP-LLMInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=LLM-based2025.110.4550.446
GPT4TSParameters (M)=11.7, Memory (MiB)=371.0, Eff.*MSE=0.20, Eff.*MAE=0.20, Few-shot (5% data)=true2026.030.470.45
GPT4TSInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=LLM-based2025.110.4720.45
GPT4TSRatio=5%2026.050.4720.45
TimeLLMInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=LLM-based2025.110.4770.451
GPT4TSforecast_horizon=336, training_data_ratio=5%2026.050.4850.459
PatchTSTforecast_horizon=336, training_data_ratio=5%2026.050.4990.467
One-for-AllParameters (M)=0.55, Memory (MiB)=2.2, Eff.*MSE=3.92, Eff.*MAE=4.17, Few-shot (5% data)=true2026.030.520.47
PatchTSTInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Transformer-based2025.110.5260.476
PatchTSTRatio=5%2026.050.5260.476
VisionTSRatio=5%2026.050.5740.498
TimesNetforecast_horizon=96, training_data_ratio=5%2026.050.6060.518
FEDformerforecast_horizon=96, training_data_ratio=5%2026.050.6280.544
VisionTSforecast_horizon=336, training_data_ratio=5%2026.050.6530.53
TimesNetInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Non-Transformer-based2025.110.7170.561
TimesNetRatio=5%2026.050.7170.561
TimesNetParameters (M)=0.63, Memory (MiB)=2.9, Eff.*MSE=2.89, Eff.*MAE=3.39, Few-shot (5% data)=true2026.030.720.56
FEDformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Transformer-based2025.110.730.592
EFDformerParameters (M)=16.8, Memory (MiB)=87.8, Eff.*MSE=0.12, Eff.*MAE=0.13, Few-shot (5% data)=true2026.030.730.59
FEDformerRatio=5%2026.050.730.592
iTransformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Transformer-based2025.110.7840.596
TimesNetforecast_horizon=336, training_data_ratio=5%2026.050.7860.597
AutoformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Transformer-based2025.110.7960.62
AutoformerParameters (M)=10.53, Memory (MiB)=62.6, Eff.*MSE=0.18, Eff.*MAE=0.20, Few-shot (5% data)=true2026.030.80.49
FEDformerforecast_horizon=336, training_data_ratio=5%2026.050.8070.628
TStationaryParameters (M)=2.02, Memory (MiB)=13.2, Eff.*MSE=0.84, Eff.*MAE=1.03, Few-shot (5% data)=true2026.030.860.6
ETSformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Training data ratio=5%, Method category=Transformer-based2025.111.1250.782
ETSformerParameters (M)=5.28, Memory (MiB)=31.4, Eff.*MSE=0.24, Eff.*MAE=0.29, Few-shot (5% data)=true2026.031.130.79
Informerforecast_horizon=96, training_data_ratio=5%2026.051.130.775
InformerParameters (M)=11.33, Memory (MiB)=65.8, Eff.*MSE=0.04, Eff.*MAE=0.08, Few-shot (5% data)=true2026.031.160.79
InformerRatio=5%2026.051.1630.791
Informerforecast_horizon=336, training_data_ratio=5%2026.051.1980.809
ReformerParameters (M)=5.80, Memory (MiB)=33.4, Eff.*MSE=0.09, Eff.*MAE=0.17, Few-shot (5% data)=true2026.031.270.83