Adaptive Base Class Boost for Multi-class Classification
Machine Learning
2008-11-11 v1 Information Retrieval
Abstract
We develop the concept of ABC-Boost (Adaptive Base Class Boost) for multi-class classification and present ABC-MART, a concrete implementation of ABC-Boost. The original MART (Multiple Additive Regression Trees) algorithm has been very successful in large-scale applications. For binary classification, ABC-MART recovers MART. For multi-class classification, ABC-MART considerably improves MART, as evaluated on several public data sets.
Keywords
Cite
@article{arxiv.0811.1250,
title = {Adaptive Base Class Boost for Multi-class Classification},
author = {Ping Li},
journal= {arXiv preprint arXiv:0811.1250},
year = {2008}
}