Table 3b: Sensitivity and specificity of models trained on original data using best threshold.

Model	Sensitivity	Specificity	Threshold
Elastic Net Logistic Regression	77.78%	72.72%	0.4730
SVM	74.55%	73.38%	0.1889
KNN	64.16%	61.69%	0.1000
Naïve Bayes	70.97%	68.60%	0.2777
CaRT	69.89%	72.79%	0.1228
Random Forest	75.27%	71.99%	0.3104
XGBoost	78.14%*	74.41%*	0.1851
Feedforward NN	73.84%	68.82%	0.2712

*Highest value achieved for each metric.