What is a GBM ensemble? - ¿Qué es un ensamblaje GBM?
What is a GBM ensemble? ChatGPT: "GBM" refers to Gradient Boosting Machine (GBM), which is a type of machine learning algorithm used for regression and classification problems. GBM works by building a set of weak prediction models, usually shallow decision trees, sequentially. At each stage, a new decision tree is fit to the residuals (errors) of the previous model. Then, the result of all the trees is combined to obtain a final prediction. This approach of sequentially building weak models and correcting the errors of the previous model allows GBM to create a robust and accurate predictive model. It is known for its ability to handle high-dimensional data, manage nonlinear relationships, and handle different types of data (categorical and numerical). GBM is an ensemble technique because it combines multiple simpler models to form a stronger and more accurate model. Additionally, it can deliver excellent results across a wide range of machine learning problems. In summary,...