Data Science, Regularization, Machine Learning, Editors Pick, Hands On Tutorials.
squared=True)) model_ridge = linear_model.Ridge(alpha=lambda_value) fitted_model_ridge = model_ridge.fit(train_features, train_targets) predictions_ridge= fitted_model_ridge.predict(test_features) rmse_array_ridge.append(mean_squared_error(test_targets, predictions_ridge, squared=True)) fig, ax =