Table 4.

Performance metrics, including accuracy (ACC), sensitivity (SEN), specificity (SPE), precision (PR), false positive rate (FPR), F1 scores and ROC curve (AUC), for all models in the context of the short axis view.

Model	ACC	SEN	SPE	PR	FPR	F1 score	AUC
KNN	0.92	0.66	0.90	1.00	0	0.80	0.69
SVM	0.90	0.58	0.88	1.00	0	0.73	0.76
Bayesian	0.80	0.58	0.86	0.58	0.13	0.58	0.58
RF	0.82	0.50	0.85	0.66	0.07	0.57	0.59

*Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Random Under-Sampling Boosted (RUS boosted), Random Forest (RF).