docs: add Liander 2024 benchmark results page under Guides#945
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Add a Benchmark Results guide showing rCRPS performance of each model on the public Liander 2024 benchmark, including a grouped box-plot, two results tables (unweighted and sample-weighted rCRPS by target group), and explanations of the metrics. Link it from the Guides index and from the Model Selection concept page. Signed-off-by: Egor Dmitriev <egor.dmitriev@alliander.com>
Add rMAE (relative Mean Absolute Error of the median forecast) metric explanation and table to the Benchmark Results guide, extracted from the Liander 2024 summary.html. Signed-off-by: Egor Dmitriev <egor.dmitriev@alliander.com>
Signed-off-by: Egor Dmitriev <egor.dmitriev@alliander.com>
Signed-off-by: Egor Dmitriev <egor.dmitriev@alliander.com>
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MvLieshout
approved these changes
Jun 5, 2026
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Summary
Adds a Benchmark Results guide that documents how each OpenSTEF model performs on the public Liander 2024 benchmark, so users have a concrete, data-driven reference for model selection.
What's included
docs/source/images/guides/liander2024_rcrps_by_group.png).rCRPSand the sample-weighted variant (with KaTeX formulas).ensembleis an openstef-meta learned-weight combination of LightGBM and GBLinear base models.Wiring
seealso.Notes
.licensesidecar; the.rstcarries an SPDX header.sphinx-buildEXIT=0; only pre-existing autodoc warnings remain).