Table 4b: Sensitivity and specificity of models trained on balanced data using best threshold.

Model	Sensitivity	Specificity	Threshold
Elastic Net Logistic Regression	74.19%	67.79%	0.4019
SVM	70.97%	71.25%	0.4429
KNN	65.95%	61.18%	0.0833
Naïve Bayes	62.01%	73.75%	0.6216
CaRT	58.78%	80.37%	0.5121
Random Forest	72.76%	76.10%	0.3525
XGBoost	77.42%*	71.84%*	0.2185
Feedforward NN	66.67%	77.72%	0.6636