Bias (math) or bias term: Revision history

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19 March 2023

  • curprev 15:4415:44, 19 March 2023‎ Walle talk contribs‎ 2,760 bytes +2,760‎ Created page with "{{see also|Machine learning terms}} ==Definition== In the context of Machine Learning, '''bias''' is a term used to describe the systematic error that a learning algorithm may have when trying to predict the true underlying relationship between input features and output targets. The '''bias term''', also known as the '''intercept''' or simply '''bias''', is a constant value added to the prediction function of a model, usually denoted as ''b'' or ''w₀'', which helps..."
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