Table 4a: Performance metrics of models trained on balanced data using default threshold.

Model	AUC	Accuracy	F1	Sensitivity	Specificity	PPV	NPV
Elastic Net Logistic Regression	77.21%	72.79%	45.74%	67.38%	73.90%	34.62%	91.70%
SVM	77.26%	73.89%	46.10%	65.59%*	75.59%	35.53%	91.46%*
KNN	65.37%	77.67%	31.72%	30.47%	87.35%	33.07%	85.96%
Naïve Bayes	71.70%	70.47%	52.36%*	62.72%	72.06%	31.53%	90.41%
CaRT	71.27%	76.69%	46.20%	58.78%	80.37%	38.05%	90.48%
Random Forest	80.90%*	84.20%*	44.30%	36.92%	93.80%*	55.38%*	87.89%
XGBoost	80.53%	83.83%	44.44%	37.99%	93.24%	53.54%	87.99%
Feedforward NN	77.76%	83.28%	38.01%	30.11%	94.19%	51.53%	86.79%