Decision threshold: Revision history

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19 March 2023

  • curprev 19:1519:15, 19 March 2023‎ Walle talk contribs‎ 3,701 bytes +3,701‎ Created page with "{{see also|Machine learning terms}} ==Definition== A '''decision threshold''' is a predefined value or cut-off point that determines the classification of instances in a machine learning algorithm. It is particularly useful in binary classification problems, where a model outputs a probability score for a given instance belonging to one of two classes (e.g., positive or negative). By comparing the probability score to the decision threshold, the model can assign the..."
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