An overview for regression tree

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  • Additional Information
    • Publication Information:
      IIPCCL, 2018.
    • Publication Date:
      2018
    • Collection:
      LCC:Social Sciences
      LCC:Business
    • Abstract:
      Classification and regression tree is a non-parametric methodology. CART is a methodology that divides populations into meaningful subgroups which will allow the identification of groups of interest. CART is classification method which uses a large data to construct decision trees. Depending on available information about the dataset, classification tree or regression tree can be constructed. The fi rst part of the paper describes fundamental principles of tree construction, different splitting algorithms, and pruning procedures. Second part of the paper answers the questions why should we use or should not use the CART method. Advantages and weaknesses of the method are discussed and tested in detail. In the last part, CART is applied to real data, using the statistical soft ware R. On this paper some graphical and plott ing tools are presented. The Regression Tree is a classification tree with a continuous dependent variable in which independent variables receive continuous values or discrete values with an error prediction that is computed with squares of differences between the observed and predicted values. At the beginning of this paper, some basic principles are presented in the construction of a classification / regression tree, while after that a detailed description of the distribution is made, making the theoretical generalization, and giving in detail the algorithms that are used in distribution as well as using a concrete examples, where different algorithms apply to distribute to a database. At the end are detailed analyses for regression trees by making appropriate theoretical generalizations and providing detailed information on how to use different algorithms to prune the overcrowded tree to reach to the final tree.
    • File Description:
      electronic resource
    • ISSN:
      2410-3918
      2410-8693
    • Relation:
      http://iipccl.org/wp-content/uploads/2018/11/70-84.pdf; https://doaj.org/toc/2410-3918; https://doaj.org/toc/2410-8693
    • Rights:
      Journal Licence: CC BY
    • Accession Number:
      edsdoj.5e3b7bcea90f43a3982fc0a5fbfc6729
  • Citations
    • ABNT:
      ADEM META. An overview for regression tree. Academic Journal of Business, Administration, Law and Social Sciences, [s. l.], n. 3, p. 70, 2018. Disponível em: . Acesso em: 19 jun. 2019.
    • AMA:
      Adem Meta. An overview for regression tree. Academic Journal of Business, Administration, Law and Social Sciences. 2018;(3):70. http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.5e3b7bcea90f43a3982fc0a5fbfc6729&custid=s8280428. Accessed June 19, 2019.
    • APA:
      Adem Meta. (2018). An overview for regression tree. Academic Journal of Business, Administration, Law and Social Sciences, (3), 70. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.5e3b7bcea90f43a3982fc0a5fbfc6729&custid=s8280428
    • Chicago/Turabian: Author-Date:
      Adem Meta. 2018. “An Overview for Regression Tree.” Academic Journal of Business, Administration, Law and Social Sciences, no. 3: 70. http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.5e3b7bcea90f43a3982fc0a5fbfc6729&custid=s8280428.
    • Harvard:
      Adem Meta (2018) ‘An overview for regression tree’, Academic Journal of Business, Administration, Law and Social Sciences, (3), p. 70. Available at: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.5e3b7bcea90f43a3982fc0a5fbfc6729&custid=s8280428 (Accessed: 19 June 2019).
    • Harvard: Australian:
      Adem Meta 2018, ‘An overview for regression tree’, Academic Journal of Business, Administration, Law and Social Sciences, no. 3, p. 70, viewed 19 June 2019, .
    • MLA:
      Adem Meta. “An Overview for Regression Tree.” Academic Journal of Business, Administration, Law and Social Sciences, no. 3, 2018, p. 70. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.5e3b7bcea90f43a3982fc0a5fbfc6729&custid=s8280428.
    • Chicago/Turabian: Humanities:
      Adem Meta. “An Overview for Regression Tree.” Academic Journal of Business, Administration, Law and Social Sciences, no. 3 (2018): 70. http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.5e3b7bcea90f43a3982fc0a5fbfc6729&custid=s8280428.
    • Vancouver/ICMJE:
      Adem Meta. An overview for regression tree. Academic Journal of Business, Administration, Law and Social Sciences [Internet]. 2018 [cited 2019 Jun 19];(3):70. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.5e3b7bcea90f43a3982fc0a5fbfc6729&custid=s8280428