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Model Calibration in Machine Learning: An Important but Inconspicuous Concept

Too Long; Didn’t Read Calibration is one of the most important concepts in machine learning. It tells us how much we can trust a model prediction, especially in classification models. Having a good grasp of calibration is a necessity for the meaningful interpretation of numerical outputs of machine learning classifiers. In this article, we’ll discuss […]