Table 2.

Performance metrics of six machine learning algorithms in the training and test sets for RTS-single leg hop test.

Performance metrics of six machine learning algorithms in the training set
Model	AUC	Acc	F1	Precision	Recall
Random Forest	0.877	0.829	0.829	0.829	0.829
Gradient Boosting	0.837	0.817	0.816	0.818	0.817
Neural Network	0.835	0.780	0.780	0.780	0.780
Decision Tree	0.809	0.732	0.732	0.732	0.732
Logistic Regression	0.779	0.659	0.658	0.658	0.659
Support Vector Machine	0.775	0.707	0.707	0.707	0.707

AUC: area under curve; Acc: Accuracy.