# Estimator Variance

> Source: https://sukruyusufkaya.com/en/glossary/varyans-kestirici
> Updated: 2026-05-13T21:13:04.402Z
> Type: glossary
> Category: matematik-istatistik-optimizasyon
**TLDR:** A measure of how much a method’s results vary across different samples.

<p>Estimator variance measures how much the output of the same method changes across different samples. Low variance indicates stability, while high variance suggests strong sensitivity to sampling variation. In machine learning, the bias-variance trade-off is built directly around this concept. Highly flexible models often exhibit low bias but high variance. That is why it is not enough to ask how accurate a model is; one must also ask how stable it remains across different subsets of data.</p>