GBMn

GBMn refers to a specific version or iteration of a system, model, or framework known as GBM. Without further context, "GBMn" is an identifier. The GBM acronym itself commonly stands for Gradient Boosting Machine. Gradient Boosting Machines are a powerful ensemble learning technique used for both regression and classification tasks. They build models in a sequential manner, where each new model attempts to correct the errors made by the previous ones. The "n" in GBMn likely indicates a particular configuration, number of trees, learning rate, or some other parameter that distinguishes it from a standard GBM or other variations.

Understanding the precise meaning of GBMn would require knowing the specific domain or project where this term is being used. For instance, in a machine learning library, GBMn might represent a specific implementation with a fixed set of hyperparameters. In a research paper, it could denote a novel variant of the GBM algorithm. Therefore, GBMn is best understood as a label for a particular instance or development of the Gradient Boosting Machine methodology, characterized by specific defining attributes indicated by the "n".