With these methods, one can optimize their gradient boosting model and make the most of it.

Once the gradient boosting model is trained, it is used to make fast predictions of new prices. We show that this approach leads to speed-ups of several orders of magnitude, while the loss of accuracy ...

Gradient boosting model is applied on a dataset with both red wine and white wine samples to make predictions. An optimization of gradient boosting model is implemented by using a proposed tuning ...