Table 2. The average performance metric scores for each machine learning model are displayed for the training and test sets.

Model	Precision (%)	Recall (%)	Accuracy (%)	F1-score (%)
Training set
CBa	90.2	87.4	88.6	88.8
RFb	90.4c	92.6c	91.2c	91.5c
SVMd	75.8	69.1	72.7	72.3
Test set
CB	77.4c	78.7	80.6c	78.0c
RF	68.5	82.0c	75.6	74.6
SVM	75.3	68.4	72.2	71.7

^aCB: CatBoost.

^bRF: random forests.

^cTop-performing values.

^dSVM: support vector machine.