Non-binary condition: Revision history

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18 March 2023

  • curprev 19:0319:03, 18 March 2023‎ Walle talk contribs‎ 4,339 bytes +4,339‎ Created page with "{{see also|Machine learning terms}} ==Introduction== In the context of machine learning, the term "non-binary condition" refers to a situation where the output or target variable of a predictive model is not restricted to two distinct classes or labels. This contrasts with binary classification tasks, where the goal is to predict one of two possible outcomes. Non-binary conditions arise in various types of problems, such as multi-class classification, multi-label classif..."
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