XGBoost Regressor

This module belongs to the " Machine Learning algorithms" category.

The XGBoost Regressor is a parameterizable and trainable extreme gradient boosting regression model.

It outputs a parameterizable and trainable decision tree regressor model.

The XGBooster permits the management of structured and tabular data.

Parameters

As boosters , we have:

• gbtree

• gblinear

• dart

We can specify the importance type according to :

• gain

• weight

• cover

• total_gain

• total_cover

We can implicitly specify which importance type we wish to consider.