Decision tree learning: Difference between revisions

Revision as of 13:02, 25 December 2023

Revision as of 23:03, 25 December 2023

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* [[Orange (software)|Orange]], an open-source data visualization, machine learning and data mining toolkit (random forest)

* [[R (programming language)|R]] (an open-source software environment for statistical computing, which includes several CART implementations such as rpart, party and randomForest packages),

*

* Ranger [https://github.com/imbs-hl/ranger], a fast implementation of random forests with C++ and R interfaces

* [[scikit-learn]] (a free and open-source machine learning library for the [[Python (programming language)|Python]] programming language).

* [[Weka (machine learning)|Weka]] (a free and open-source data-mining suite, contains many decision tree algorithms),

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* [[Matlab]],

* [[Microsoft SQL Server]] [https://technet.microsoft.com/en-us/library/cc645868.aspx], and

* [[RapidMiner]],

*

* Salford Systems CART (which licensed the proprietary code of the original CART authors),<ref name="bfos"/>

* [[SAS (software)#Components|SAS Enterprise Miner]],

* [[SPSS Modeler|IBM SPSS Modeler]],