IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v14y1994i2p169-174.html
   My bibliography  Save this article

ROC Curves for Classification Trees

Author

Listed:
  • Richard F. Raubertas
  • Lance E. Rodewald
  • Sharon G. Humiston
  • Peter G. Szilagyi

Abstract

A common problem in medical diagnosis is to combine information from several tests or patient characteristics into a decision rule to distinguish diseased from healthy patients. Among the statistical procedures proposed to solve this problem, recursive partitioning is appealing for the easily-used and intuitive nature of the rules it produces. The rules have the form of classification trees, in which each node of the tree represents a simple question about one of the predictor variables, and the branch taken depends on the answer. The authors consider the role of misclassification costs in developing classification trees. By varying the ratio of costs assigned to false negatives and false positives, a series of clas sification trees are generated, each optimal for some range of cost ratios, and each with a different sensitivity and specificity. The set of sensitivity-specificity combinations define a curve that can be used like an ROC curve. Key words: recursive partitioning; receiver operating characteristic; decision tree; misclassification; CART. (Med Decis Making 1994;14:169-174)

Suggested Citation

  • Richard F. Raubertas & Lance E. Rodewald & Sharon G. Humiston & Peter G. Szilagyi, 1994. "ROC Curves for Classification Trees," Medical Decision Making, , vol. 14(2), pages 169-174, April.
    • Handle: RePEc:sae:medema:v:14:y:1994:i:2:p:169-174
    DOI: 10.1177/0272989X9401400209
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X9401400209
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0272989X9401400209?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:medema:v:14:y:1994:i:2:p:169-174. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.