Appended is a list (as far as I can tell) of statistical software that DOES provide for use of Classification and Regression Tree (CART) models. Some have the CART as a trivial case of things like random-forests or gradient boosted machines.
What I want to know is, outside of these, what software does NOT provide for CART models.
The proprietary software used internally here (not Excel) does not support CART models. I am making a business case that, when performing ML tasks we need to have software that is capable. I really am looking for a lack of only this feature. I am looking for MAINSTREAM statistics GENERAL PURPOSE DATA ANALYSIS packages whose - something likely currently being used by a fortune 500 company to generate actionable results given input information. I am not looking for every mom-and-pop software package.
I am not asking if anyone could hand-code it in Haskell or Cobol. I'm asking if it is ALREADY in a PACKAGE for the software. R has a half-dozen packages. MatLab has one or two, but it requires a proprietary toolbox.
Outside of the Excel answer - I cannot think of or find a serious package not already accounted for.
If I made a mistake or omission here, please let me know.
As always, suggestions, corrections, comments and feedback are solicited.
Here is my best shot at an exhaustive list of Mainstream/production statistics software with established built-in CART implementations:
- (MatLab) http://www.mathworks.com/help/stats/classification-trees-and-regression-trees.html
- (Python) http://scikit-learn.org/stable/modules/tree.html
- (R) http://www.statmethods.net/advstats/cart.html
- (JMP) http://www.jmp.com/support/help/Partition_Method.shtml
- (h2o) http://docs.h2o.ai/datascience/gbm.html
- (openCV) http://docs.opencv.org/modules/ml/doc/decision_trees.html
- (KNIME) https://www.knime.org/files/nodedetails/_labs_treeensemble_Tree_Ensemble_Learner_Regression_.html
- (MS Azure ML)
- (IBM SPSS)