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A data-cleaning tool for building better prediction models

(Columbia University School of Engineering and Applied Science) New software developed by computer scientists at Columbia University and University of California at Berkeley analyzes a user's prediction model to decide which data to clean first, while updating the model as it works. With each pass, users see their model improve.
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Data-cleaning tool for building better prediction models

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New software analyzes a user's prediction model to decide which data to clean first, while updating the model as it works. With each pass, users see their model improve.

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