Development and validation of a machine learning model to predict time to renal replacement therapy in patients with chronic kidney disease

Table 3 Cross-validation results

Algorithm	R² (training fold)	MAE (training fold)	R² (cross-validation fold)	MAE (cross-validation fold)
Linear regression	0.72	418	0.50	531
Ridge regression	0.68	443	0.56	509
LASSO regression	0.69	427	0.59	488
Elastic net	0.68	439	0.58	500
Random forest	0.86	294	0.58	484
GBDT	0.93	198	0.62	459

ISSN: 1471-2369