cross validation

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“Testing a model against multiple subsets of the data. Commonly achieved by splitting a model into k nonoverlapping sets and estimating the same model on k-1 sets—rotating the dropped set until all k combinations have been estimated.”

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By |February 1st, 2019|Comments Off on cross validation