Decision boundary: Revision history

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19 March 2023

  • curprev 19:1519:15, 19 March 2023‎ Walle talk contribs‎ 3,583 bytes +3,583‎ Created page with "{{see also|Machine learning terms}} ==Decision Boundary in Machine Learning== ===Definition=== In machine learning, a '''decision boundary''' is the surface that separates different classes or categories in a classification problem. It represents the boundary in the feature space where the algorithm makes decisions to classify input data points into their respective categories, based on the chosen classification model. A well-defined decision boundary can aid in accurate..."
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