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ResearchFormerly WizWand

Time Series Forecasting on ETTm2 10% train (test)

0.257MSEFiCoTS
0.108081.113292.11853.12371Nov 29, 2025Dec 26, 2025Jan 22, 2026Feb 18, 2026Mar 17, 2026Apr 13, 2026May 10, 2026
Updated 5mo ago

Evaluation results

MethodLinks
FiCoTSInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=LLM-based, Training data percentage=10%2025.110.2570.317
TimeVLMInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=LLM-based, Training data percentage=10%2025.110.2620.323
Time-VLMForecasting Horizon (H)=Avg2026.050.2630.323
SSDAForecasting Horizon (H)=Avg2026.050.270.32
Time-LLMForecasting Horizon (H)=Avg2026.050.2770.323
TIME-LLMParameters (M)=6.46, Memory (MiB)=3907, Eff.*MSE=0.43, Eff.*MAE=0.402026.030.280.33
One-for-AllParameters (M)=0.55, Memory (MiB)=2.2, Eff.*MSE=4.37, Eff.*MAE=4.482026.030.290.33
VisionTSForecasting Horizon (H)=Avg2026.050.2920.342
GPT4TSForecasting Horizon (H)=Avg2026.050.2930.335
S2IP-LLMInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=LLM-based, Training data percentage=10%2025.110.2960.342
PatchTSTForecasting Horizon (H)=Avg2026.050.2960.343
GPT4TSParameters (M)=11.7, Memory (MiB)=371.0, Eff.*MSE=0.21, Eff.*MAE=0.212026.030.30.34
TimeLLMInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=LLM-based, Training data percentage=10%2025.110.3070.348
GPT4TSInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=LLM-based, Training data percentage=10%2025.110.3080.346
PatchTSTInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=Transformer-based, Training data percentage=10%2025.110.3140.352
DLinearForecasting Horizon (H)=Avg2026.050.3160.368
TESTParameters (M)=2.00, Memory (MiB)=701, Eff.*MSE=1.24, Eff.*MAE=1.262026.030.320.31
TimesNetParameters (M)=0.63, Memory (MiB)=2.9, Eff.*MSE=3.02, Eff.*MAE=3.462026.030.320.35
TimesNetForecasting Horizon (H)=Avg2026.050.320.353
TStationaryParameters (M)=2.02, Memory (MiB)=13.2, Eff.*MSE=0.88, Eff.*MAE=1.052026.030.330.37
TimesNetInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=Non-Transformer-based, Training data percentage=10%2025.110.3440.372
iTransformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=Transformer-based, Training data percentage=10%2025.110.3560.388
FEDformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=Transformer-based, Training data percentage=10%2025.110.3810.404
AutoformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=Transformer-based, Training data percentage=10%2025.110.3880.433
DLinearInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=Non-Transformer-based, Training data percentage=10%2025.110.3990.426
ETSformerParameters (M)=5.28, Memory (MiB)=31.4, Eff.*MSE=0.25, Eff.*MAE=0.312026.030.450.49
EFDformerParameters (M)=16.8, Memory (MiB)=87.8, Eff.*MSE=0.12, Eff.*MAE=0.122026.030.460.49
FEDformerForecasting Horizon (H)=Avg2026.050.4630.488
ETSformerInput sequence length=512, Predictive lengths={96, 192, 336, 720}, Method Category=Transformer-based, Training data percentage=10%2025.110.5340.547
AutoformerParameters (M)=10.53, Memory (MiB)=62.6, Eff.*MSE=0.13, Eff.*MAE=0.162026.031.340.93
InformerParameters (M)=11.33, Memory (MiB)=65.8, Eff.*MSE=0.04, Eff.*MAE=0.092026.033.371.44
InformerForecasting Horizon (H)=Avg2026.053.371.44
ReformerParameters (M)=5.80, Memory (MiB)=33.4, Eff.*MSE=0.08, Eff.*MAE=0.092026.033.981.59