'Return the feature importances (the higher, the more important the
feature).
Returns
feature_importances_ : array, shape = [n_features]'

@property
def feature_importances_(self):

    self._check_initialized()
    total_sum = np.zeros((self.n_features_,), dtype=np.float64)
    for stage in self.estimators_:
        stage_sum = (sum((tree.feature_importances_ for tree in stage)) / len(stage))
        total_sum += stage_sum
    importances = (total_sum / len(self.estimators_))
    return importances
