Using partial pooling when preparing data for machine learning applications

Geoffrey Simmons writes: I reached out to John Mount/Nina Zumel over at Win Vector with a suggestion for their vtreat package, which automates many common challenges in preparing data for machine learning applications. The default behavior for impact coding high-cardinality variables had been a naive bayes approach, which I found to be problematic due its multi-modal output (assigning […]

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