Home>IT Tests>Questions>Cross validation is a technique used for evaluating ML or DL (deep learning) models. The method consists in training several models on subsets of the input data and evaluating them on the complementary subset of this same data. It aims at avoiding overfitting.
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Cross validation is a technique used for evaluating ML or DL (deep learning) models. The method consists in training several models on subsets of the input data and evaluating them on the complementary subset of this same data. It aims at avoiding overfitting.
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_______ is a technique used for evaluating ML or DL (deep learning) models. The method consists in training several models on subsets of the input data and evaluating them on the complementary subset of this same data. It aims at avoiding overfitting. What is the name of this method?
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