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Robust XGBoosting for Regression
robust regressionXGBoostmachine learningprediction accuracy
2608.13590
Builder Relevance
1h ago70%
Abstract
This paper investigates the robustness of XGBoost against vertical outliers and leverage points, proposing alternative loss functions for improved performance.
Reality Card
Core Claim
The introduction of a two-step procedure called MM-XGBoost significantly enhances robustness while maintaining prediction accuracy.
Method / Result
MM-XGBoost provides the best trade-off between robustness and prediction accuracy.
Limitations
The paper does not specify the reproducibility of the proposed methods across different datasets.
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