mlsanityData to 14 Oct 2026

Why every GBDT speed benchmark is wrong

arXiv 1810.10380 ↗First posted 24 Oct 2018cs.LG stat.MLcited by 1

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Abstract (arXiv)

This article provides a comprehensive study of different ways to make speed benchmarks of gradient boosted decision trees algorithm. We show main problems of several straight forward ways to make benchmarks, explain, why a speed benchmarking is a challenging task and provide a set of reasonable requirements for a benchmark to be fair and useful.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 24 Oct 2018.

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