Machine Learning, Xgboost, Financial Data, Model Selection.
we chose to select all features that were greater than the median of all feature importances. Now, we will fetch the feature names, to make it easier to refer to them in the next steps. Of those features we decided to retain, some are categorical while others are continuous numeric features.