Decision tree learning: Difference between revisions

Revision as of 14:00, 23 December 2023

Revision as of 13:02, 25 December 2023

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===Implementations===

Many data mining software packages provide implementations of one or more decision tree algorithms (e.g. random forest).

ExamplesOpen source examples include:

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

* [[ALGLIB]], a C++, C# and Java numerical analysis library with data analysis features (random forest)

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

* [[KNIME]], a free and open-source data analytics, reporting and integration platform (decision trees, random forest)

* [[RapidMiner]],

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

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

* [[Matlab]],

* [[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),

* [[Orange (software)|Orange]],

Notable commercial software:

* [[KNIME]],

* [[Matlab]],

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

* [[RapidMiner]],

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

* 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]],

==Extensions==