rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Regression model diagnostics
  name:
    name part: Rudd, Matthew
    role:
      role term: presenter.
  name:
    name part: Manning (Firm)
    role:
      role term: publisher.
  type of resource: moving image
  genre: videorecording
  genre: Webcast
  genre: Instructional films.
  genre: Internet videos.
  genre: Nonfiction films.
  genre: Films de formation.
  genre: Films autres que de fiction.
  genre: Vidéos sur Internet.
  origin info:
    place:
      place term: nyu
    date issued: 2021
    edition: [First edition].
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 video file (35 min.)) : sound, color.
  abstract: Once you've built a regression model, how do you know if it's any good? For linear regression, a standard and often misunderstood diagnostic is the coefficient of determination; for logistic regression, a great diagnostic that should be much more widely known is the coefficient of discrimination. Matthew Rudd, the author of "Regression, a Friendly Guide" talks about both of these measures, what they really mean, and how to use them to make better use of your models.
  note: Matthew Rudd.
  note: Matthew Rudd, presenter.
  subject:
    topic: Regression analysis
  subject:
    topic: Regression Analysis
  subject:
    topic: Analyse de régression
  subject:
    topic: Regression analysis
  classification: QA278.2
  classification: 519.5/36
  identifier: 10000MNHV2021139 O'Reilly Media
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record content source: ORMDA
    record creation date: 220308
    record change date: 20260128203756.5
    record identifier: in00004670257
    language of cataloging:
      language term: eng