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@jemoka / Jemoka Knowledge Base / wiki/concepts/loo.md
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--- 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.