3. Model implementation
The model proposed in this work is composed by the union of two different modules, a decision tree-based
model [18] and a RecBFN-based model [19]. The variables underP and v are the targets (i.e. they must be
predicted), while some of the others are fed as input in the implementation of the developed model.