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If you want a more detailed explanation, then go to the python documentation. There is most of the time a good explanation on how the methods work and what the parameters do.
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* [MLpack::hoeffding_tree_C++\_documentation](https://www.mlpack.org/doc/stable/doxygen/classmlpack_1_1tree_1_1HoeffdingTree.html)
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* [MLpack::hoeffding_tree_Python_documentation](https://www.mlpack.org/doc/stable/python_documentation.html#hoeffding_tree)
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* [**MLpack::hoeffding_tree_C++\_documentation**](https://www.mlpack.org/doc/stable/doxygen/classmlpack_1_1tree_1_1HoeffdingTree.html)
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* [**MLpack::hoeffding_tree_Python_documentation**](https://www.mlpack.org/doc/stable/python_documentation.html#hoeffding_tree)
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added some of the links from the python documentation
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* [decision_tree](https://gitlab.cs.uni-duesseldorf.de/stups/abschlussarbeiten/prolog-mlpack-libary/-/wikis/PrologMethods/decision_tree#decision-tree)
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* random_forest
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* [Mining High-Speed Data Streams (pdf)](http://dm.cs.washington.edu/papers/vfdt-kdd00.pdf) |
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* [**decision_tree**](https://gitlab.cs.uni-duesseldorf.de/stups/abschlussarbeiten/prolog-mlpack-libary/-/wikis/PrologMethods/Classification/decision_tree)
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* [**random_forest**](https://gitlab.cs.uni-duesseldorf.de/stups/abschlussarbeiten/prolog-mlpack-libary/-/wikis/PrologMethods/Classification/random_forest)
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* [**Mining High-Speed Data Streams (pdf)**](http://dm.cs.washington.edu/papers/vfdt-kdd00.pdf) |
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