On the Interaction Effects Between Prediction and Clustering

18 Jul 2018 Matt Barnes Artur Dubrawski

Machine learning systems increasingly depend on pipelines of multiple algorithms to provide high quality and well structured predictions. This paper argues interaction effects between clustering and prediction (e.g. classification, regression) algorithms can cause subtle adverse behaviors during cross-validation that may not be initially apparent... (read more)

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