---
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 &ldquo;overshooting&rdquo; regional points and &ldquo;bouncing around&rdquo;
&hellip;as a function of parameters At a fixed dataset, just increasing the number of parameters will increase
