ABC-Boost: Adaptive Base Class Boost for Multi-Class Classification

author: Ping Li, Department of Statistical Science, Cornell University
published: Aug. 26, 2009,   recorded: June 2009,   views: 3754


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We propose ABC-Boost (Adaptive Base Class Boost) for multi-class classification and present ABC-MART, an implementation of ABC-Boost. The original MART (Multiple Additive Regression Trees) algorithm has been popular in certain industry applications (e.g., Web search). For binary classification, ABC-MART recovers MART. For multi-class classification, ABC-MART improves MART, as evaluated on several public data sets.

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