Our aim is to develop an empirical analysis of different aggregations to combine these outputs.To do so,
we develop a double study: first,we use different base classifiers in order to observe the suitability and potential of
each combination with in each classifier. Then,we compare the performance of these ensemble
techniques with the classifiers’themselves. Hence,we also analyse the improvement with respect to
the classifiers that handle multiple classes inherently.