https://wiki.alt-text.eu/index.php?action=history&feed=atom&title=OverfittingOverfitting - Revision history2026-09-15T06:36:55ZRevision history for this page on the wikiMediaWiki 1.45.3https://wiki.alt-text.eu/index.php?title=Overfitting&diff=63&oldid=previmported>ALT-TEXT: Import: AI terminology and people glossary2026-09-07T10:36:21Z<p>Import: AI terminology and people glossary</p>
<p><b>New page</b></p><div>== Overfitting ==<br />
A failure mode in [[Machine learning|machine learning]] where a model learns the specific quirks and noise of its [[Training data|training data]] too closely, so it performs well on that data but poorly on new, unseen examples. Overfitting is one reason why an AI model that scores well in testing can still fail in real-world use. (See also: [[Training data]], [[Machine learning]])<br />
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[[Category:Glossary]]<br />
[[Category:Artificial Intelligence]]<br />
[[Category:Machine Learning]]<br />
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