Fig. 3From: Development and validation of a machine learning model to predict time to renal replacement therapy in patients with chronic kidney diseaseRelationship between predicted and measured values for each algorithm. (a) Linear regression, (b) Ridge regression, (c) LASSO regression, (d) Elastic net, (e) Random forest, and (f) GBDT. For all algorithms, the error in the predictions tended to increase as the measured values increasedBack to article page