AUC not used in linear and logistic regression models?

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Screen Link: https://app.dataquest.io/m/92/applying-decision-trees/4/evaluating-error-with-auc

Hi Team,

So I have noticed that we’re using AUC to check the accuracy of our decision tree model in the mission: Applying Decision Trees. Instead of using AUC in linear and logistic regression models, we were told to use RMSE instead? Any specific reason for this? When is one better than the other? Could we use AUC for linear and logistic regression models as well? If yes, which one is preferable?

Thanks

Any feedback on it?

It was never explained what AUC and ROC are…