Python Model Feature Importance
model = XGBClassifier()
m = model.fit(X , y)
zip_iterator = zip(list(X.columns), m.feature_importances_)
feature_dict = dict(zip_iterator)
dict( sorted(feature_dict.items(), key=operator.itemgetter(1),reverse=True))
Roland Kovács