Table 4 R-squared, RMSE and MAE in comparison of the predicted values by the optimized DKF model/the sparse DKF model/ the conventional DKF model and the observed eGFR values.

From: Personalized prediction model generated with machine learning for kidney function one year after living kidney donation

Model

R-squared

Root Mean Squared Error

Mean Absolute Error

The optimized DKF model

0.58

5.27

3.92

The sparse DKF model

0.52

5.36

4.17

The conventional DKF model

0.27

6.89

5.80

  1. DKF, donor’s kidney function.
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