Java: Data Science Made Easy

XGBoost in practice

After we have successfully built and installed the library, we can use it for creating machine learning models, and in this chapter we will cover three cases: binary classification, regression, and learning to rank models. We will also talk about the familiar use cases: predicting whether a URL is on the first page or search engine results, predicting the performance of a computer, and ranking for our own search engine.