Table 1.

Performance metrics for each machine learning model for classifier and regressor in the cross-validation evaluation. f1-score weighted on classes was used for the classifier and the Root Mean Squared Error (RMSE) for the regression approach.

Model	Classifier	Regressor
Random Forest	0.702	10.1
K-NN	0.687	12.90
SVM	0.623	14.32
XGBoost	0.753	8.91