- (Domingos, 1999) ⇒ Pedro Domingos. (1999). “MetaCost: A General Method for Making Classifiers Cost-sensitive.” In: Proceedings of the fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ISBN:1-58113-143-7 doi:10.1145/312129.312220
- QUOTE: In this paper we propose a principled method for making an arbitrary classifier cost-sensitive by wrapping a cost-minimizing procedure around it. This procedure, called MetaCost, treats the underlying classifier as a black box, requiring no knowledge of its functioning or change to it. Unlike stratification, MetaCost is applicable to any number of classes and to arbitrary cost matrices.