Table 1.

Metrics and scores used to estimate model performance of the final model with respect to the training and test sets.

	Train	Test1	Test2	Test3	Test4
AROC	0.93	0.90	0.93	0.75	0.51
MAE	0.31	0.52	0.80	0.53	0.69
R2	0.88	0.68	0.61	0.06	−0.64
R20	0.82	0.45	−0.24	−2.24	−2.21
RMSE	0.40	0.71	0.98	0.81	0.86
X0	0.07	0.18	0.26	0.83	9.35
X1	0.13	0.46	1.29	7.90	29.89
r	0.94	0.83	0.82	0.32	0.08