When using decision trees in a gradient boosting system for regression, it's not necessary to normalize the training data predictor values, because no distance between data items is computed. However, ...

Gradient boosting is an efficient and scalable supervised machine learning technique, and most scaling models based on gradient boosting perform well on point regression tasks, but they can only be ...

Gradient-boosted trees may contain a set of classification or regression trees. Classification trees are used for discrete values (e.g. cat or dog). Regression trees are used for continuous values ...

The following six machine learning models were developed to predict ADH upgrade from core needle biopsy: gradient-boosting trees, random forest, radial support vector machine (SVM), weighted K-nearest ...