Definitions from Wikipedia (Out-of-bag error)

▸ noun:  Out-of-bag error, also called out-of-bag estimate, is a method of measuring the prediction error of random forests, boosted decision trees, and other machine learning models utilizing bootstrap aggregating (bagging).


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