Sam Steingold has introduced MIMIC in NYC Machine Learning meetup. MIMIC is a method for calibrating the score of a binary classifier into probability. The method is different from the usual Platts and Isotonic calibration
Its advantage is that it is much faster than Isotonic calibration, and is capable of ...