Table 10.

Ten-fold cross-validation results of the ML models in the estimation of relapse.

Model Type	Accuracy %	F1 Score %
Tree	78.17	78.91
Ensemble	77.46	78.08
SVM	70.42	71.62
Discriminant	62.68	62.94
KNN	62.68	60.74
Efficient Linear SVM	62.68	62.94
Naive Bayes	60.56	67.44
Neural Network	59.15	57.35
Efficient Logistic Regression	57.75	58.9
BGLM Logistic Regression	57.04	57.93

The most successful model is marked in bold.