Non-Parametric Calibration of Probabilistic Regression

20 Jun 2018Hao SongMeelis KullPeter Flach

The task of calibration is to retrospectively adjust the outputs from a machine learning model to provide better probability estimates on the target variable. While calibration has been investigated thoroughly in classification, it has not yet been well-established for regression tasks... (read more)

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