Summary

In this chapter, you learned what XGBoost is and how to apply it to a business problem. You learned how to specify your own hyperparameters when using the Auto Off option and how to specify the objective for a binary classification problem. Additionally, you learned how to do your own data preprocessing and calculate the F1 score to validate the model performance.

In the next chapter, you will learn how to bring your own models from Amazon SageMaker for in-database or remote inference.