Overfitting: Difference between revisions

Latest revision as of 14:59, 2 February 2024

When an AI model learns the training data too well and performs poorly on unseen data.

Revision as of 07:10, 11 October 2023 (view source) Civitai (talk \| contribs) No edit summary Tag: Visual edit ← Older edit		Latest revision as of 14:59, 2 February 2024 (view source) MajMorse (talk \| contribs) No edit summary Tag: Visual edit
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	When an AI model learns the training data too well and performs poorly on unseen data.		When an AI [[model]] learns the [[training]] data too well and performs poorly on unseen data.
	[[Category:Training]]		[[Category:Training]]