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Why every GBDT speed benchmark is wrong

Machine Learning 2018-10-25 v1 Machine Learning

Abstract

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.

Cite

@article{arxiv.1810.10380,
  title  = {Why every GBDT speed benchmark is wrong},
  author = {Anna Veronika Dorogush and Vasily Ershov and Dmitriy Kruchinin},
  journal= {arXiv preprint arXiv:1810.10380},
  year   = {2018}
}
R2 v1 2026-06-23T04:51:17.581Z