code: def most_by_uncertain(self, y):
          
          return self.most_uncertain_by_mask((self.ds.y == y), y)
docs: Extracts the predicted classes which correspond to the selected class (y) and have probabilities nearest to 1/number_of_classes (eg. 0.5 for 2 classes, 0.33 for 3 classes) for the selected class.
  
              Arguments:
                  y (int): the selected class
  
              Returns:
                  idxs (numpy.ndarray): An array of indexes (numpy.ndarray)