Question

Are Gradient boosting model, Random Forest, XGBoost, and LightGBM all tree-based models??

Thanks!

Answer 1

Yes, Gradient boosting, Random forest, Random forest, XGBoost, and LightGBM all are tree based models.

Gradient Boosting :-

Gradient Boosting is machine learning algorithm used for classification and regression problems. The main idea of boosting algorithm came out of the idea of whether a weak learner can be modified to become better.

Random Forest:-

Random forest is another algorithm for classification and regression task, it is based on ensemble learning. it consists of many decision tree to give better prediction.

XGBoost:-

XGBoost is an open source framework which provides parallel computing and based on  gradient bosting algorithm.  

LightBGM :-

Fullform of LightGBM is Light Gradient Boosted Machine. It is also open source, distributed gradient boosting framework for machine learning which is developed by Microsoft. It is based on decision tree algorithms and used for regression, classification and other machine learning tasks.