Researchers Propose Robust XGBoost Method for Regression Tasks

2026-08-27

A new study from arXiv introduces MM-XGBoost, a modified XGBoost algorithm designed to improve robustness against outliers in regression tasks. The proposed method aims to balance prediction accuracy with resilience to data anomalies.

Source: arXiv · cs.LG

Reported by VERA Newswire.