• Medientyp: E-Book
  • Titel: A Comparative Analysis of the Neural Network and Naive Bayes Classifiers
  • Beteiligte: Belik, Ivan [Verfasser:in]
  • Erschienen: [S.l.]: SSRN, [2019]
  • Umfang: 1 Online-Ressource (15 p)
  • Sprache: Englisch
  • DOI: 10.2139/ssrn.3371889
  • Identifikator:
  • Entstehung:
  • Anmerkungen: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments April 14, 2018 erstellt
  • Beschreibung: The main purpose of the given research is to make a comparative analysis of two classifiers with different nature. Specifically, we build the Naïve Bayes Classifier, based on the Bayesian Statistics concept, and the Artificial Neural Network classifier, based on the functional aspects of the biological neural networks. These two competing paradigms are running over ten-real world datasets to show the most possible classification accuracy results
  • Zugangsstatus: Freier Zugang