For an underfit data set the training and the cross validation error will be high true or false
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Explanation:
This statement is true
High variance means that your estimator (or learning algorithm) varies a lot depending on the data that you give it. ... This type of high variance is called overfitting. Thus usually overfitting is related to high variance.
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