DadgogoAI Dictionary

Dictionary entry

overfitting

noun \ˌō-vər-ˈfi-tiŋ\
TopicFundamentals Senses1
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Definition of overfitting

  1. : a problem in which a model learns its training examples too closely, including their noise and quirks, and so performs poorly on new data

    • The model scored 99% in testing but failed in the real world, a classic case of overfitting.
    • Adding more varied data is the simplest cure for overfitting.

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Related terms

training data the collection of examples (text, images, code, audio, and so on) that a model learns from benchmark a public, standardized test used to compare AI models, such as a set of exam questions, coding… machine learning a branch of AI in which computers learn patterns from data instead of following rules written…

Cite this entry

"Overfitting." AI Dictionary, Dadgogo, https://dadgogo.com/dictionary/overfitting/. Accessed 4 Oct. 2026.

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