Fixing Model Probability - Why this matters? How to do it?
Many models including Support Vectors, Decision Trees, Random Forests, XGBoost, CatBoost, LightGBM provide you "Predicted Probability" which are usually INCORRECT. There is a statistical reason why they are incorrect and I explain a sound approach to correct them.
