Comparative Study of Machine Learning Algorithms for Classification of Datasets using R Programming
| Author(s) | : | Ramaswamy M, Savitha B |
| Institution | : | Assistant Professor, Department of IT, Rajalakshmi Institute of Technology, Chennai |
| Published In | : | Vol. 3, Issue 2 — February 2016 |
| Page No. | : | 157-161 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Over the past years, periodically many organizations have started to capture large volumes of historicaldata for describing their operations, products, and customers. Data Mining apparently tries to extract knowledge orsome unknown interesting patterns from these huge unstructured data. During this process machine learning algorithmsare 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 beencompared by using the various publically available datasets. The R Programming language has been used forexperimenting all the algorithms.
Ramaswamy M, Savitha B, “Comparative Study of Machine Learning Algorithms for Classification of Datasets using R Programming”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 2, pp. 157-161, February 2016.
