Calibration layer: Revision history

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19 March 2023

  • curprev 15:4415:44, 19 March 2023‎ Walle talk contribs‎ 3,234 bytes +3,234‎ Created page with "{{see also|Machine learning terms}} ==Calibration Layer in Machine Learning== Calibration is a crucial aspect of machine learning, specifically in the context of probabilistic models. The calibration layer refers to an additional component in a machine learning model designed to adjust the predicted probabilities so that they better match the true probabilities of the outcomes. This article discusses the concept of calibration in machine learning, its importance, and the..."
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