Classification models fail when the model assigns the wrong class to a new data observation. That is, if the accuracy of that classification is not high enough for a given number of predictions.
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Classification models fail when the model assigns the wrong class to a new data observation. That is, if the accuracy of that classification is not high enough for a given number of predictions.
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