Question: can xgboost be used for regression?
Answer: XGBoost is a decision-tree-based ensemble Machine Learning algorithm that uses a gradient boosting framework. ... The algorithm differentiates itself in the following ways: A wide range of applications: Can be used to solve regression, classification, ranking, and user-defined prediction problems.