What is the purpose of cross-validation? Specifically, why
wouldn’t we test a hypothesis trained on all...
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What is the purpose of cross-validation? Specifically, whywouldn’t we test a hypothesis trained on all of the availableexamples?
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Cross Validation is used to assess the predictive performance of the models and to judge how they perform outside the sample to a new data set also known as test data The motivation to use cross validation techniques is that when we fit a model we are fitting it
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