XGB stands for “eXtreme Gradient Boosting” and is often referred to as XGBoost. Knowledge Studio includes an XGB node for predictive modeling that data scientists can use to develop solutions for classification and regression problems. Knowledge Studio’s XGB implementation supports models with several types of dependent variables and can handle single numeric DV, single binary DV, single multiclass DV, multiple numeric DVs, and multiple binary DVs. This video shows how to use Knowledge Studio’s XGB node.
This video was produced using Knowledge Studio 2021.3.