Classification Trees for Multiple Binary Responses

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Abstract
Multiple binary responses arise from many applications for which an array of health related symptoms are of primary interest. These symptoms are usually correlated. I generalize the tree-based methodology for a single response to the case involving multiple binary responses. In particular, I apply the method to analyze building-related occupant complaint syndrome based on a recently collected large database. Using the same database, I compare the performance of several node-splitting criteria for trees.

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