Corpus ID: 49364461

Comparing Methodologies for Developing an Early Warning System: Classification and Regression Tree Model versus Logistic Regression. REL 2015-077.

@inproceedings{Koon2015ComparingMF,
  title={Comparing Methodologies for Developing an Early Warning System: Classification and Regression Tree Model versus Logistic Regression. REL 2015-077.},
  author={S. Koon and Y. Petscher},
  year={2015}
}
The CART results were found to be comparable to those of logistic regression, while using fewer or the same number of variables. This means that rather than complicated mathematical operations, decision trees may be used to accurately classify students as at-risk and not at-risk readers. Decision trees have been found to be easier to interpret and use by practitioners in fields where they are often used, such as health care. 
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