Table 3.

Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of the four machine learning classifiers

Method	Sensitivity	Specificity	PPV	NPV
Random Forest	0.69 95% CI (0.61, 0.77)	0.69 95% CI (0.46, 0.91)	0.94 95% CI (0.89, 0.99)	0.23 95% CI (0.11, 0.35)
Ada Boost	0.68 95% CI (0.6, 0.76)	0.69 95% CI (0.46, 0.91)	0.94 95% CI (0.89, 0.99)	0.22 95% CI (0.11, 0.34)
MARS	0.42 95% CI (0.33, 0.51)	0.44 95% CI (0.19, 0.68)	0.85 95% CI (0.76, 0.94)	0.09 95% CI (0.03, 0.16)
ElasticNet	0.61 95% CI (0.53, 0.7)	0.63 95% CI (0.39, 0.86)	0.92 95% CI (0.87, 0.98)	0.18 95% CI (0.08, 0.28)