<note xmlns="http://www.tei-c.org/ns/1.0" n="1" rend="footnote text" xml:id="ftn1">Our code can be found: <ptr target="https://github.com/LeKonArD/info_leakage" /></note><note xmlns="http://www.tei-c.org/ns/1.0" n="2" rend="footnote text" xml:id="ftn2">For Multinomial Naive Bayes, Logistic Regression, SVM and K-NN we used the library Scikit-Learn (Pedregosa 2011). For the new gradient boosting approaches we used XGBoost (Chen and Guestrin 2016), LightGBM (Ke et al. 2017), CatBoost (Dorogush et al. 2017).</note>