Pelvic floor muscle contraction automatic evaluation algorithm for pelvic floor muscle training biofeedback using self-performed ultrasound

Table 2 Performance of each model based on 5-fold cross-validation

Model	Accuracy	AUC	Recall	Precision	F1
Light Gradient Boosting Machine	0.73	0.89	0.66	0.72	0.72
Random Forest Classifier	0.73	0.88	0.64	0.73	0.71
Logistic Regression	0.47	0.61	0.30	0.35	0.39

Accuracy: (TP + TN)/(TP + FP + FN + TN), Recall: TP/(TP + FN), Precision: TP/(TP + FP), F1: 2 * (Precision * Recall)/Precision + Recall
AUC The Area Under the Curve, TP True Positive, TN True Negative, FP False Positive, FN False Negative

ISSN: 1472-6874