Time Series Forecasting On Weather 720

Metrics

Accuracy

MSE

Results

Performance results of various models on this benchmark

			Paper Title
TEFN	-	0.352	Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting
RLinear	-	0.329	Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping
PRformer	-	0.326	PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting
DLinear	-	0.323	Are Transformers Effective for Time Series Forecasting?
TSMixer	-	0.316	TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
RLinear-CI	0.327	0.314	Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping
MoLE-DLinear	-	0.314	Mixture-of-Linear-Experts for Long-term Time Series Forecasting
PatchTST/64	-	0.314	A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
SegRNN	-	0.31	SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting
DiPE-Linear	-	0.306	Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting
xPatch	-	0.291	xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition

0 of 11 row(s) selected.

Time Series Forecasting On Weather 720

Metrics

Accuracy

MSE

Results

Performance results of various models on this benchmark

			Paper Title
TEFN	-	0.352	Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting
RLinear	-	0.329	Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping
PRformer	-	0.326	PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting
DLinear	-	0.323	Are Transformers Effective for Time Series Forecasting?
TSMixer	-	0.316	TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
RLinear-CI	0.327	0.314	Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping
MoLE-DLinear	-	0.314	Mixture-of-Linear-Experts for Long-term Time Series Forecasting
PatchTST/64	-	0.314	A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
SegRNN	-	0.31	SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting
DiPE-Linear	-	0.306	Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting
xPatch	-	0.291	xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition

0 of 11 row(s) selected.

Time Series Forecasting On Weather 720 | SOTA | HyperAI