Do you know what is GBM?

Gradient Boosting Machines (GBMs) are a type of machine learning algorithm used for both regression and classification problems. They are a form of ensemble learning, which means that they combine the predictions of several individual models to produce a final prediction. GBMs can handle missing data and outliers.

Here is how GBMs work in detail:

1. Decision trees: GBMs are based on decision…