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May, 2023
基于最先进的梯度提升算法的分类性能基准测试
Benchmarking state-of-the-art gradient boosting algorithms for classification
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Piotr Florek, Adam Zagdański
TL;DR
比较了四种梯度提升方法在一些真实数据集上的表现，着重考虑超参数优化策略，并尝试找到一种具有效果、可靠性和易用性的梯度提升算法。
Abstract
This work explores the use of
gradient boosting
in the context of
classification
. Four popular implementations, including original GBM algorithm and selected state-of-the-art
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