What are options to calibrate probabilities produced from the output of a classifier that does not produce natural probabilities?
The two most common calibration approaches are Platt scaling and Isotonic regression.
The two most common calibration approaches are Platt scaling and Isotonic regression.
A calibration, or reliability curve, is the standard way to assess the calibration quality of a classifier’s predictions.
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