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Author: Jacobo Osorio

Jacobo is studying for his Master’s in Modelling for Science and Engineering at UAB. At Abzu, he’s exploring the development and application of new features. He’s an AI enthusiast first, but he spends most of his free time reading and playing basketball. And he LOVES dad jokes.

Evaluating the calibration of your QLattice models

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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.

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