Table 4.

Sensitivity and specificity of classification in EFFECT-2 sample.

Classification method	Sensitivity	Specificity	Positive predictive value	Negative Predictive value
Classification tree	0.462	0.820	0.616	0.709
Bagged classification tree	0.451	0.849	0.653	0.712
Random forest	0.378	0.897	0.696	0.697
Boosted classification tree (depth 1)	0.453	0.876	0.695	0.719
Boosted classification tree (depth 2)	0.491	0.847	0.667	0.726
Boosted classification tree (depth 3)	0.492	0.828	0.642	0.722
Boosted classification tree (depth 4)	0.500	0.820	0.635	0.724
Support vector machines	0.401	0.887	0.690	0.703