A key difference between Gradient Boosting and Random Forest is in the way individual trees are optimized. A Gradient Boosting classifier uses regression trees, where the individual splits are optimized according to the gradient and the Hessian of some loss function (i.e. cross-entropy), and con...
Under a Creative Commons license open accessHighlights Abstract In this paper, a gradient boosting tree model is proposed to detect, identify and localize single-phase-to-ground and three-phase faults in low voltage (LV) smart distribution grids. The proposed method is based on gradient boosting ...
b). In Fig.3c, Ta concentration shows a sharp rising gradient to 1.5% at the etching time of 300 s and then gradually falls, indicating that the core-shell interface is present at the maximum point
In this work, a hybrid model of Gradient Boosting Regression Tree (GBRT) with grid search cross-validation (GridSearchCV) optimization technique was used to predict the compressive strength, which allowed us to increase the precision of the prediction models. In addition, to build the proposed ...