Outlier detection: Revision history

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21 March 2023

  • curprev 01:0901:09, 21 March 2023‎ Walle talk contribs‎ 3,253 bytes +3,253‎ Created page with "{{see also|Machine learning terms}} ==Outlier Detection in Machine Learning== Outlier detection, also referred to as anomaly detection or novelty detection, is a process in machine learning and statistics that involves identifying data points, observations, or patterns that significantly deviate from the expected behavior or the majority of the data. These deviations, known as outliers, can indicate errors in data collection, unusual events, or the presence of pr..."
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