HyperAIHyperAI

Command Palette

Search for a command to run...

Console

Time Series Forecasting On Etth2 192 1

Metrics

MSE

Results

Performance results of various models on this benchmark

Paper Title
DLinear0.383Are Transformers Effective for Time Series Forecasting?
TEFN0.375Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting
MoLE-DLinear0.362Mixture-of-Linear-Experts for Long-term Time Series Forecasting
FiLM0.357FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
NLinear0.344Are Transformers Effective for Time Series Forecasting?
PatchTST/640.341A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
MoLE-RLinear0.336Mixture-of-Linear-Experts for Long-term Time Series Forecasting
PRformer0.332PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting
TiDE0.332Long-term Forecasting with TiDE: Time-series Dense Encoder
LTBoost (drop_last=false)0.332LTBoost: Boosted Hybrids of Ensemble Linear and Gradient Algorithms for the Long-term Time Series Forecasting
TSMixer0.33TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
DiPE-Linear0.325Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting
SegRNN0.321SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting
RLinear0.319Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping
xPatch0.275xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition
PatchMixer0.274PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting
0 of 16 row(s) selected.
Time Series Forecasting On Etth2 192 1 | SOTA | HyperAI