IDEAS home Printed from https://ideas.repec.org/a/spr/metron/v78y2020i3d10.1007_s40300-020-00191-5.html
   My bibliography  Save this article

On the definition of a concentration function relevant to the ROC curve

Author

Listed:
  • Mauro Gasparini

    (Politecnico di Torino)

  • Lidia Sacchetto

    (Politecnico di Torino and Università di Torino)

Abstract

This work provides a definition of concentration curve alternative to the one presented on this journal by Schechtman and Schechtman (Metron 77:171–178, 2019). Our definition clarifies, at the population level, the relationship between concentration and the omnipresent ROC curve in diagnostic and classification problems.

Suggested Citation

  • Mauro Gasparini & Lidia Sacchetto, 2020. "On the definition of a concentration function relevant to the ROC curve," METRON, Springer;Sapienza Università di Roma, vol. 78(3), pages 271-277, December.
  • Handle: RePEc:spr:metron:v:78:y:2020:i:3:d:10.1007_s40300-020-00191-5
    DOI: 10.1007/s40300-020-00191-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40300-020-00191-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40300-020-00191-5?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Edna Schechtman & Gideon Schechtman, 2019. "The relationship between Gini terminology and the ROC curve," METRON, Springer;Sapienza Università di Roma, vol. 77(3), pages 171-178, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mauro Gasparini & Lidia Sacchetto, 2023. "Concentration and ROC Curves, Revisited," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 292-305, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mauro Gasparini & Lidia Sacchetto, 2023. "Concentration and ROC Curves, Revisited," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 292-305, February.

    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:spr:metron:v:78:y:2020:i:3:d:10.1007_s40300-020-00191-5. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.