Decision Trees and Predictive Models with cross-validation and ROC analysis plot

This code implements a classification tree and plots the ROC curves for each target class

Version 1.9.0 (962 KB)
6.2K Downloads
(2)
9 Aug 2012
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Cite As

Andrea Padoan (2026). Decision Trees and Predictive Models with cross-validation and ROC analysis plot (https://www.mathworks.com/matlabcentral/fileexchange/26326-decision-trees-and-predictive-models-with-cross-validation-and-roc-analysis-plot), MATLAB Central File Exchange. Retrieved .

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General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
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Version Published Release Notes
1.9.0

Now, the overall classification rate is estimates by:
1) 10 fold crossvalidation
2) Leave one out crossvalidation (LOOCV)
that give more realistic results.
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1.4.0

Added Import from Matlab File.
Added some comments in file.
Added consistency check for outcome variable.
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1.2.0

Added Import directly from matlab file
Added check for NaN in outcome variable
Added check for consistency in outcome variable
Added some comments in files.
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1.1.0

I've changed some comments and screenshot.
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1.0.0

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