Probability Calibration Trees

31 Jul 2018Tim LeathartEibe FrankGeoffrey HolmesBernhard Pfahringer

Obtaining accurate and well calibrated probability estimates from classifiers is useful in many applications, for example, when minimising the expected cost of classifications. Existing methods of calibrating probability estimates are applied globally, ignoring the potential for improvements by applying a more fine-grained model... (read more)

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