Time Series Forecasting On Ettm2 96 1

Métriques

MAE

MSE

Résultats

Résultats de performance de divers modèles sur ce benchmark

			Paper Title
TEFN	0.264	0.181	Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting
MoLE-DLinear	-	0.168	Mixture-of-Linear-Experts for Long-term Time Series Forecasting
RLinear	0.253	0.164	Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping
TSMixer	0.255	0.164	TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
SCNN	-	0.163	Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting
DiPE-Linear	-	0.162	Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting
PRformer	-	0.162	PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting
LTBoost (drop_last=false)	0.243	0.156	LTBoost: Boosted Hybrids of Ensemble Linear and Gradient Algorithms for the Long-term Time Series Forecasting
xPatch	0.240	0.153	xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition

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Time Series Forecasting On Ettm2 96 1 | SOTA | HyperAI