LOOCV is a cross-validation method where each sample in the dataset is used once as a test set while the remaining samples form the training set. For a dataset with n samples, LOOCV involves n iterations, allowing each data point to be a test case once. This method is advantageous for maximizing data usage, particularly in small datasets typical of cancer research.
