Machine Learning, Xgboost, Financial Data, Model Selection.
lower the score, the worse the classifier performs. Also, a score below 0.5 indicates that the classifier shows no real ability to predict the target. Finally, we will import the Python time module to be able to compute the seconds that elapse for running each classifier. We print the results to