The plot below shows the training and validation r-squared scores of a ridge regression model for varying values of the rgularization hyperparameter. State the (approximate) value of a that would produce the model with the best abilitity to generalize. Briefly explain why you selected that value. r-Squared 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 -2.0 -1.5 -1.0 -0.5 0.0 0.5 Training Validation 10 15 2.0 2.5 log(alpha) 3.0 Activate Windows Go to Settings to activat