IDEAS home Printed from https://ideas.repec.org/p/rug/rugwps/06-405.html
   My bibliography  Save this paper

A note on performance measures for failure prediction models

Author

Listed:
  • H. OOGHE
  • C. SPAENJERS

Abstract

Since decades, the topic of business failure prediction has been an important research area for both academics and practitioners. Bankruptcy prediction involves the classification of firms in a failing and a non-failing group3. Generally, this classification is based on (1) a prediction model that attributes a ‘score’ to each firm in the data set and (2) a certain cutoff point. To evaluate the classification results, several performance measures can be used. This note outlines these measures and illustrates the connections between them with numerical examples. This may help the reader to better understand (and possibly use) these classification measures.

Suggested Citation

  • H. Ooghe & C. Spaenjers, 2006. "A note on performance measures for failure prediction models," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/405, Ghent University, Faculty of Economics and Business Administration.
    • Handle: RePEc:rug:rugwps:06/405
    as

    Download full text from publisher

    File URL: http://wps-feb.ugent.be/Papers/wp_06_405.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:rug:rugwps:06/405. 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: Nathalie Verhaeghe (email available below). General contact details of provider: https://edirc.repec.org/data/ferugbe.html .

    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.