Probability, Calibration, Machine Learning, Data Science, Model Tuning.
Next, we’ll delve into the classical methods of calibration. Platt scaling, also known as Platt calibration, is a parametric approach utilized to calibrate the output probabilities of a classification model. Introduced by John Platt in 1999, this method aims to convert the raw output scores or