Improving GBDT performance on imbalanced datasets: An empirical study of class-balanced loss functions

Research article (Neurocomputing, 2025) · cited 27× · AI/ML
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Improving GBDT performance on imbalanced datasets: An empirical study of class-balanced loss functions

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Improving GBDT performance on imbalanced datasets: An empirical study of class-balanced loss functions is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Improving GBDT performance on imbalanced datasets: An empirical study of class-balanced loss functions. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-gbdt-performance-on-imbalanced-datasets-an-empirical-study-of-class-balanced-loss-functions
MLA “Improving GBDT performance on imbalanced datasets: An empirical study of class-balanced loss functions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-gbdt-performance-on-imbalanced-datasets-an-empirical-study-of-class-balanced-loss-functions.
BibTeX @misc{4ortxyz_improving-gbdt-performance-on-imbalanced-datasets-an-empirical-study-of-class-balanced-loss-functions_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving GBDT performance on imbalanced datasets: An empirical study of class-balanced loss functions}}, year = {2026}, url = {https://4ort.xyz/entity/improving-gbdt-performance-on-imbalanced-datasets-an-empirical-study-of-class-balanced-loss-functions}, note = {Accessed: 2026-05-24}}
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