Comparative Study of Machine Learning Algorithms for Classification of Datasets using R Programming

Authors

  • Ramaswamy M Assistant Professor, Department of IT, Rajalakshmi Institute of Technology, Chennai
  • Savitha B Assistant Professor, Department of IT, Rajalakshmi Institute of Technology, Chennai

Keywords:

GBM, MARS, Deep Learning

Abstract

Over the past years, periodically many organizations have started to capture large volumes of historical
data for describing their operations, products, and customers. Data Mining apparently tries to extract knowledge or
some unknown interesting patterns from these huge unstructured data. During this process machine learning algorithms
are used. The aim of this paper is to study various machine learning algorithms for classification and to compare them.
In this paper C5.0, SVM, Random Forest, GBM, Bayes Classifier, MARS, AdaBoost and Deep Learning have been
compared by using the various publically available datasets. The R Programming language has been used for
experimenting all the algorithms.

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Published

2016-02-25

How to Cite

Ramaswamy M, & Savitha B. (2016). Comparative Study of Machine Learning Algorithms for Classification of Datasets using R Programming. International Journal of Advance Engineering and Research Development (IJAERD), 3(2), 157–161. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/1245

Issue

Vol. 3 No. 2 (2016): Volume 3 Issue 2 February -2016

Section

Articles