Evaluating the calibration of your QLattice models
Let’s study how well calibrated the QLattice models are, and to what extent calibrators can improve them.
An introduction to calibration (part I): Understanding the basics
What do machine learning model outputs represent? What if the predictions that we’re making come with a future risk?
An introduction to calibration (part II): Platt scaling, isotonic regression, and beta calibration
Calibrators are tools used to transform the scores generated by your models into (almost) real mathematical probabilities.
