# Why every GBDT speed benchmark is wrong

arXiv: https://arxiv.org/abs/1810.10380 · HTML: https://mlsanity.com/paper/1810.10380/

## Key facts

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

## Built on by (most cited first, 1 of 1)

- [A Comparison of Decision Forest Inference Platforms from A Database Perspective](https://mlsanity.com/paper/2302.04430/) (2023)

## 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.