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: Learn about random forest in R with data from the Adult Census Income dataset (1996)
  name:
    name part: Shi, Feng
    name part: active 2019
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Odum Institute
    role:
      role term: author.
  type of resource: text
  genre: statistics
  origin info:
    place:
      place term: enk
    date issued: 2019
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations
  abstract: This dataset is designed for teaching the random forest in machine learning. The dataset is a subset of data derived from the 1996 Adult Census Income dataset, and the example demonstrates how to use the random forest to predict annual income class with individual features such as demographics, working status, marital status, etc. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for R.
  target audience: specialized
  note: Feng Shi and Odum Institute.
  subject:
    topic: Regression analysis
  subject:
    topic: Income
  subject:
    topic: Demographic surveys
  subject:
    topic: Regression Analysis
  subject:
    topic: Income
  subject:
    topic: Analyse de régression
  subject:
    topic: Revenu
  subject:
    topic: Enquêtes démographiques
  subject:
    topic: Demographic surveys
  subject:
    topic: Income
  subject:
    topic: Regression analysis
  classification: QA278.2 .S55 2019
  classification: 519.536
  identifier: 9781526495464
  identifier: 1526495465
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 190425
    record change date: 20240923170324.4
    record identifier: in00005494588
    language of cataloging:
      language term: eng