Boosting Tree

Published by onesixx on

decision tree, RandomForest, ExtraTrees, AdaBoost, Gradient Boosting
XGBoost, LightGBM

tianqi Chen
XGBoost is an optimized distributed gradient boosting library designed to be highly efficientflexible and portable.
It implements machine learning algorithms under the Gradient Boosting framework.
XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solve many data science problems in a fast and accurate way.
The same code runs on major distributed environment (Hadoop, SGE, MPI) and can solve problems beyond billions of examples.


Categories: Analysis


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