Two-fold validation is a resampling method. It randomly divides the available set of samples into two parts It randomly divides the available set of samples into two parts a training set
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Get Price10-fold cross-validation train on 90% of data and validate on 10%. Repeat 10 times and average (test on fold 1, then fold 2,, then fold 10), Leave-one-out cross-validation train on all but one training example. Repeat n times and average. Gets more accurate but more expensive with more folds.
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