In this video, we will learn about the performance evaluation metrics for the regression like RSE(Residual Standard Error) and R^2(Coefficient of Determination) for evaluating the performance of our machine learning model and we will also discuss about why R^2 is a better metric compared to RSE and I will explain each and everything using examples so we can visualize what we are learning.
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