3. #Gradientboosting is VERY interpretable with the #SHAPley method. They are totally misleading by saying their Deep Neural Network is more interpretable and boosting is not interpretable. They are apparently ignorant of these important advanced in interpretability, even though it is more than 5 years old now.
4. Despite a lot of talk about class imbalance, the churn datasets are not very imbalanced - 10%-20% churn rates. Really imbalanced data is low single digit churn rates.