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Demand Prediction research benchmarks · SOTA2 Research

Demand Prediction

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Multi-year station-hour demand dataset (Overall)

0.828MAE

9

May 25, 2026

Multi-year station-hour demand dataset (Two-year)

0.816MAE

9

May 25, 2026

Multi-year station-hour demand dataset (Adjacent-year split)

0.842MAE

9

May 25, 2026

H&M Personalized Fashion Recommendations (10 random train-test splits)

0.94CRPS

4

Jun 16, 2026

Retail transactional dataset latest 3 months (Out of Time test)

Monodense deep learning model

30.9WMAPE

3

Apr 1, 2026

Dominick’s beer (out-of-sample)

3.757ΔR² Test Statistic

1

May 22, 2026

Popular datasets

Multi-year station-hour demand dataset Retail transactional dataset H&M Personalized Fashion Recommendations Dominick’s beer Station-hour demand dataset

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