using the variable selection strategy of Ridge Regression using the GLM (Generalized Linear Model) operator. For the ridge regression model, alpha = 0.0, and lambda search is configured with number of lambdas = 0, lambda min ratio = 0.

Report the following results in your response

1. Based on your holdout results, provide screenshots of Data tab of the Generalized Linear Model results tab.
2. Write the ridge regression model (equation) generated that includes the intercept and the coefficients for all predictors using the Description section of the Generalized Linear Model results tab.
3. Provide and interpret each of the following metrics:

root mean squared error (RMSE), absolute error (MAE), relative error (MAPE), squared error (MSE), squared correlation (R²), mean percent error (MPE), and mean error.