Abstract
Machine learning problems performing classification into categories whose definition and validity come from a necessary dialogue with the machine learning system represent a special class of problems we call “exploratory”. Here we argue that such problems need special treatment and illustrate this to be the case for confidence calibration in gene function prediction.
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