How to Combine Scikit-learn, CatBoost, and SHAP for Explainable Tree Models Vinod Chugani MachineLearningMastery.com

​Machine learning workflows often involve a delicate balance: you want models that perform exceptionally well, but you also need to understand and explain their predictions. Machine learning workflows often involve a delicate balance: you want models that perform exceptionally well, but you also need to understand and explain their predictions.  Read More