Confidence for exploratory machine learning.

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.