IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v34y2000i2p165-191.html
   My bibliography  Save this article

Noisy replication in skewed binary classification

Author

Listed:
  • Lee, Sauchi Stephen

Abstract

No abstract is available for this item.

Suggested Citation

  • Lee, Sauchi Stephen, 2000. "Noisy replication in skewed binary classification," Computational Statistics & Data Analysis, Elsevier, vol. 34(2), pages 165-191, August.
    • Handle: RePEc:eee:csdana:v:34:y:2000:i:2:p:165-191
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(99)00095-X
    Download Restriction: Full text for ScienceDirect subscribers only.
    ---><---

    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. Mkhadri, A. & Celeux, G. & Nasroallah, A., 1997. "Regularization in discriminant analysis: an overview," Computational Statistics & Data Analysis, Elsevier, vol. 23(3), pages 403-423, January.
    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. Kubus Mariusz, 2020. "Evaluation of Resampling Methods in the Class Unbalance Problem," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 24(1), pages 39-50, March.
    2. Rasha Ashraf, 2024. "Bank Customer Churn Prediction Using Machine Learning Framework," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 14(4), pages 1-5.
    3. Ezgi Gülenç Bayirli & Atabey Kaygun & Ersoy Öz, 2023. "An Analysis of PISA 2018 Mathematics Assessment for Asia-Pacific Countries Using Educational Data Mining," Mathematics, MDPI, vol. 11(6), pages 1-23, March.
    4. Gigliarano, Chiara & Figini, Silvia & Muliere, Pietro, 2014. "Making classifier performance comparisons when ROC curves intersect," Computational Statistics & Data Analysis, Elsevier, vol. 77(C), pages 300-312.

    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. Merbouha, A. & Mkhadri, A., 2004. "Regularization of the location model in discrimination with mixed discrete and continuous variables," Computational Statistics & Data Analysis, Elsevier, vol. 45(3), pages 563-576, April.
    2. Youssef Anzarmou & Abdallah Mkhadri & Karim Oualkacha, 2023. "Sparse overlapped linear discriminant analysis," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 32(1), pages 388-417, March.

    More about this item

    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:eee:csdana:v:34:y:2000:i:2:p:165-191. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/csda .

    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.