Table 6. Comparison of the predictive performance of Boosted Tree reduced models on training, validation, and testing data.

Data	Sample (N)	Accuracy	Miss-classification	AUC	Sensitivity	Specificity	Precision
Training	579	1.0000	0.0000	1.0000	1.0000	1.0000	1.0000
Validation	96	0.9271	0.0729	0.9931	0.9362	0.9184	0.9167
Testing	288	0.9653	0.0347	0.9691	0.9691	0.9603	0.9691