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Can anyone tell about different Techniques/algorithms of Random forest? I know, Random Forest is itself an algorithm/model, but I'm looking for another version of it as we have in decision trees. List of Algorithms based on Random Forest? Thanks

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    $\begingroup$ You might be interested in gradient boosting methods, such as XGBoost or LightGBM $\endgroup$
    – mickey
    Commented Apr 24, 2019 at 17:51

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Random Forest is a tree based ensemble algorithm which uses bagging to improve the performance of the algorithm. There are few improved/modified Random Forest algorithms which includes weighted quadratic random forest and weighted class random forest, to name a few. These algorithms are not mainstream algorithms and can be used for very specific purposes - imbalanced target labels.

If you are looking for tree based algorithms, look at GBM, LightGBM, XGB and CatBoost.

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Random Forest is a very specific technique, is itself a variation of other techniques.

In this link you will find a list of techniques related to random forest:

Forest of randomized trees

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