Calibration, Data Science, Machine Learning, Supervised Learning, Regression.
forest 2. random forest + isotonic regression 3. random forest + logistic regression : Isotonic regression Metrics to assess which one is better calibrated. Expected Calibration Error gives how far away is our predicted probability from the true actual probability : Freedman-Diaconis rule Random