Table 4.

Performance metrics of six machine learning algorithms in the training and test sets for RTS-Single leg vertical jump test.

Performance metrics of six machine learning algorithms in the training set
Model	AUC	Acc	F1	Precision	Recall
Gradient Boosting	0.810	0.659	0.533	0.533	0.533
Random Forest	0.791	0.720	0.566	0.652	0.500
Decision Tree	0.665	0.683	0.536	0.577	0.500
Neural Network	0.643	0.622	0.415	0.478	0.367
Support Vector Machine	0.547	0.622	0.205	0.444	0.133
Logistic Regression	0.506	0.598	0.195	0.364	0.133

AUC: area under curve; Acc: Accuracy.