Predicting chronic kidney disease progression with artificial intelligence

BMC Nephrology

Table 3 Performance of Model 1 according to the prediction algorithm

Outcome	Sensitivity	Accuracy	F1	Precision
Renal replace therapy
Logistic Regression	0.79	0.97	0.82	0. 85
Neural Network	0.61	0.95	0.64	0.70
Random Forest	0.62	0.96	0.67	0.88
Stage Progression
Logistic Regression	0.54	0.67	0.52	0.57
Neural Network	0.53	0.68	0.51	0.57
Random Forest	0.54	0.69	0.53	0.60
eGFR Progression
Logistic Regression	0.55	0.78	0.55	0.64
Neural Network	0.53	0.78	0.51	0.62
Random Forest	0.53	0.79	0.51	0.65

ISSN: 1471-2369