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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.