Condensed-gradient boosting

SEYEDSAMAN EMAMI, Gonzalo Martínez Muñoz

Abstract: This paper introduces an efficient Gradient Boosting variant for multi-class classification and multi-output regression. By using multi-output regressors, it treats multi-class problems as a single task, reducing computational cost. Results show a strong balance between accuracy and efficiency compared to existing methods.