IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/vxwqf.html
   My bibliography  Save this paper

Algorithmes d'apprentissage et modèles statistiques: Un exemple de régression régularisée et de validation croisée pour prédire le décrochage scolaire

Author

Listed:
  • Lacourse, Eric

    (Université de Montréal)

  • Dupere, Veronique
  • Giguère, Charles-Édouard
  • Courdi, Clémentine

    (Université de Montréal)

  • Guay, Samuel

Abstract

Le chapitre présente les avantages de l'utilisation de la régularisation dans l'analyse de régression linéaire et logistique. Afin d'illustrer les techniques de régularisation, nous donnons un exemple de régression logistique régularisée avec validation croisée cherchant à prédire le décrochage scolaire chez des élèves du secondaire au Québec. Avec 25 variables prédictives et un échantillon simulé de 1000 cas, les résultats de la régression logistique ordinaire sont comparés avec ceux de la régression avec régularisation ridge, lasso et elastic-net.

Suggested Citation

  • Lacourse, Eric & Dupere, Veronique & Giguère, Charles-Édouard & Courdi, Clémentine & Guay, Samuel, 2020. "Algorithmes d'apprentissage et modèles statistiques: Un exemple de régression régularisée et de validation croisée pour prédire le décrochage scolaire," SocArXiv vxwqf, Center for Open Science.
    • Handle: RePEc:osf:socarx:vxwqf
    DOI: 10.31219/osf.io/vxwqf
    as

    Download full text from publisher

    File URL: https://osf.io/download/5fa81998d1894f00b168eee1/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/vxwqf?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
    ---><---

    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:osf:socarx:vxwqf. 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: OSF (email available below). General contact details of provider: https://arabixiv.org .

    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.