Table 6.

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

Model Type	Accuracy %	F1 Score %
SVM	75.00	49.44
Discriminant	73.89	48.35
KNN	72.78	24.62
BGLM Logistic Regression	72.22	41.86
Efficient Logistic Regression	71.67	37.04
Efficient Linear SVM	71.67	38.55
Ensemble	71.11	23.53
Tree	70.56	18.46
Neural Network	68.89	46.15
Naive Bayes	65.56	41.51

The most successful model is marked in bold.