---
title: "Leave-One-Out Cross Validation"
type: concept
related: [Loo]
source: https://www.jemoka.com/posts/kbhloo/
confidence: high
status: active
---

LOOCV is a cross validation method whereby the entire dataset bar one sample is used for training; then, validation is ran on one sample. This is repeated \(N\) times (with a fresh model and a fresh item left out) to get a distribution of one-shot validation results that is an approximately-normal curve centered around the mean validation result from many one-shot samples.
