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@jemoka / Jemoka Knowledge Base / raw/concept/kbhoverfitting.md
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--- title: "overfitting" source: https://www.jemoka.com/posts/kbhoverfitting/ --- consider something like a polynomial interpolation: Interpolating polynomial (or most ML models in general) are smooth, and so interpolating between points will result in “overshooting” regional points and “bouncing around” …as a function of parameters At a fixed dataset, just increasing the number of parameters will increase