Scoring: Revision history

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21 March 2023

  • curprev 01:1501:15, 21 March 2023‎ Walle talk contribs‎ 3,710 bytes +3,710‎ Created page with "{{see also|Machine learning terms}} ==Overview== In the field of machine learning, scoring refers to the process of evaluating a trained model's performance based on its ability to make predictions on a given dataset. The scoring process typically involves comparing the model's predictions to the actual or true values, also known as ground truth or targets. A variety of evaluation metrics are used to quantify the model's performance, with the choice of metric often d..."
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