Benchmarking state-of-the-art gradient boosting algorithms for classification

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 gradient boosting frameworks (i.e. XGBoost, LightGBM and CatBoost), have been thoroughly compared on several publicly availab...

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Bibliographische Detailangaben

Hauptverfasser:	Florek, Piotr, Zagdański, Adam
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning
Online-Zugang:	Volltext bestellen
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