QuestionQ74

VerifiedTrain and use machine learning models

A Data Scientist is working on a linear-regression problem.

Which metrics should the Scientist use to evaluate their machine-learning model?

Choose two
Explanation

Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) evaluate continuous prediction error by comparing predicted values with actual numeric values. They are standard metrics for linear regression.

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