Boosting (machine learning)

Boosting is a way of improving a machine learning model by combining the outputs from multiple models. These models each try to solve the same problem, but in slightly different ways. We then take the predictions from each model, and combine them in a way that is better than any individual model! The result is a more accurate prediction.