funcs.py
Erased the f1_score calculation from the majority vote function

trainingUnit.py
Currently stores all of the summary data:
majority vote, agreement rate and predictedLabels(votes) from each of the classifiers(except the one built with from the subject's data used at the loop for testing)
added the ranking function which calculates the ranks using agreement rates, majority votes and the predicted labels from a set of classifiers.

Currently returns the ranks having in mind the real index model. This should be changed in the future so that I can use this function anywhere by passing the indeces of the models instead of calculating them inside