Calibration, Data Science, Machine Learning, Supervised Learning, Regression.
probabilities) into another 1-dimensions vector (of calibrated probabilities) Let’s take another example. if your model outputs a prediction of heart failure in the next months, the doctors for sure will start acting on the people whose risk is above 0.5+ probability score, now if your model