Measuring the performance of the regression model

To measure the performance of a regression model, we can calculate the distance from predicted output and the actual output as a quantifier of the performance of the model. Here, we often use the Root Mean Square Error (RMSE), Relative Square Error (RSE), and R-Square as common measurements. In the following recipe, we will illustrate how to compute these measurements from a built regression model.

Getting ready

In this recipe, we will use the Quartet dataset, which contains four regression datasets as our input data source.

How to do it...

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