Machine Learning, Xgboost, Financial Data, Model Selection.
we will apply the OneHotEncoder to all categorical features. Since we decided to be selective about the features we retained, the complexity burden will thereby be lessened. For each categorical feature, the OneHotEncoder will create a new feature for every binary outcome within the original