Recent developments in machine learning applications are deeply concerned with the poor interpretability of most these techniques. To gain some insights process designing data-based models it is common to graphically represent algorithm’s results, either their final or intermediate stage. Specially challenging task plotting multiclass classification results as they involve categorical variables...

Belief functions have been proposed for modeling someone’s degrees of belief. They provide alternatives to the models based on probability functions or on possibility functions. There are several interpretations of belief functions: the lower probabilities model, Dempster’s model, the hint model, the probability of modal propositions model, the transferable belief model. All these models are un...