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DTREG
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DTREG is the ideal tool for modeling business and
medical data with categorical variables such as sex, race and marital status.
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Decision trees present a clear, logical model
that can be understood easily by people who are not mathematically inclined.
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If you have a need for linear or nonlinear regression
analysis, check out the NLREG program.
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You also should check out the News Rover program that automatically scans Usenet newsgroups, downloads messages of interest to you, decodes binary file attachments, reconstructs files split across multiple messages, and eliminates spam and duplicate files. News Rover also has a built-in MP3 music search engine and can quickly locate music files on any Usenet newsgroup.
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Iris Classification Example
Type of tree: Classification
Task: Classify species of iris based on plant measurements
This is a classification problem dating back to 1936.
Its originator, R. A. Fisher, developed the problem to test clustering analysis and other types
of classification programs prior to the development of computerized decision tree generation programs.
The dataset is small consisting of 150 records.
The target variable is categorical specifying the species of iris.
The predictor variables are measurements of plant dimensions.
Return to DTREG home page
Download demonstration copy of DTREG.
Download manual for DTREG.
Download manual for
DTREG COM Library.
Purchase DTREG.
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