# K-Fold Cross Validation

> Source: https://sukruyusufkaya.com/en/glossary/k-katli-capraz-dogrulama
> Updated: 2026-05-13T21:09:02.079Z
> Type: glossary
> Category: matematik-istatistik-optimizasyon
**TLDR:** A method that repeatedly evaluates a model across different data folds to provide a more reliable estimate of performance.

<p>K-fold cross validation is used to evaluate model performance more reliably without depending on a single data split. The data is divided into k parts; in each round, one part is used for validation and the rest for training. This means the model is tested across multiple subsets of the data. The method is especially valuable when data is limited, because each example contributes to both training and evaluation over time. In practice, k-fold is a strong tool for model selection and comparison.</p>