The classifier finally selected was built with the logistic regression, one of the most widely used classifiers, able to predict the probability of the class on the basis of both continuous and discrete features. The best results were achieved by using a reduced subset of features; in particular, taking into account the model interpretation needs, we selected the logistic regression fitted with the features obtained by M5 method.