Python, Ridge Regression, Lasso Regression, Elastic Net, Regularization.
0.9999975570256459 alpha: L1 term (lambda) tol: Stopping criteria. Ridge: from sklearn.linear_model import Ridge from sklearn.metrics import r2_score parameters = {'alpha': 0.1 } model = Ridge(**parameters) model.fit(X, y) y_pred = model.predict(X) score = r2_score(y, y_pred) #OUT: R2