Binary Partitioning for CART (Classification and Regression Tree) Methods

  • Ton J. Cleophas
  • Aeilko H. Zwinderman
Part of the SpringerBriefs in Statistics book series (BRIEFSSTATIST)


Binary partitioning is used to determine the best fit decision cut-off levels for a dataset with false positive and false negative patients. It serves a purpose similar to that of the receiver operating characteristic (ROC) curve method, but, unlike ROC curves, it is adjusted for the magnitude of the samples, and therefore more precise.


Receiver Operating Characteristic Receiver Operating Characteristic Curve Peripheral Vascular Disease Internal Node Curve Method 
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Copyright information

© The Author(s) 2012

Authors and Affiliations

  1. 1.SliedrechtThe Netherlands
  2. 2.LeidenThe Netherlands

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