Table 2.

Decision tree model evaluation and comparison

Sample	n	AUROCC	Overall error rate	Accuracy	Precision
Validation dataset	56	0.93	0.16	0.84	0.89
Testing dataset	49	0.80	0.27	0.73	0.77
Full dataset	353	0.87	0.21	0.79	0.84

Note. 1) The final model was built using the training dataset (n = 248, 70%).

2) The performance of the final model was validated using a validation dataset (n = 56, 16%) and a testing dataset (n = 49, 14%).