Performance comparison of machine learning classification algorithms

K. M. Veena; K. Manjula Shenoy; K. B. Ajitha Shenoy

doi:10.1007/978-981-13-1813-9_49

Performance comparison of machine learning classification algorithms

K. M. Veena, K. Manjula Shenoy, K. B. Ajitha Shenoy

Department of Information and Communication Technology, Manipal Institute of Technology, Manipal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Citations (Scopus)

Abstract

Classification of binary and multi-class datasets to draw meaningful decisions is the key in today’s scientific world. Machine learning algorithms are known to effectively classify complex datasets. This paper attempts to study and compare the classification performance if four supervised machine learning classification algorithms, viz., “Classification And Regression Trees, k-Nearest Neighbor, Support Vector Machines and Naive Bayes” to five different types of data sets, viz., mushrooms, page-block, satimage, thyroid and wine. The classification accuracy of each algorithm is evaluated using the 10-fold cross-validation technique. “The Classification And Regression Tree” algorithm is found to give the best classification accuracy.

Original language	English
Title of host publication	Advances in Computing and Data Science - Second International Conference, ICACDS 2018, Revised Selected Papers
Editors	Tuncer Ören, P. K. Gupta, Jan Flusser, Vipin Tyagi, Mayank Singh
Publisher	Springer Verlag
Pages	489-497
Number of pages	9
ISBN (Print)	9789811318122
DOIs	https://doi.org/10.1007/978-981-13-1813-9_49
Publication status	Published - 01-01-2018
Event	2nd International Conference on Advances in Computing and Data Sciences, ICACDS 2018 - Dehradun, India Duration: 20-04-2018 → 21-04-2018

Publication series

Name	Communications in Computer and Information Science
Volume	906
ISSN (Print)	1865-0929

Conference

Conference	2nd International Conference on Advances in Computing and Data Sciences, ICACDS 2018
Country/Territory	India
City	Dehradun
Period	20-04-18 → 21-04-18

All Science Journal Classification (ASJC) codes

Computer Science(all)
Mathematics(all)

Access to Document

10.1007/978-981-13-1813-9_49

Cite this

Veena, K. M., Manjula Shenoy, K., & Ajitha Shenoy, K. B. (2018). Performance comparison of machine learning classification algorithms. In T. Ören, P. K. Gupta, J. Flusser, V. Tyagi, & M. Singh (Eds.), Advances in Computing and Data Science - Second International Conference, ICACDS 2018, Revised Selected Papers (pp. 489-497). (Communications in Computer and Information Science; Vol. 906). Springer Verlag. https://doi.org/10.1007/978-981-13-1813-9_49

Veena, K. M. ; Manjula Shenoy, K. ; Ajitha Shenoy, K. B. / Performance comparison of machine learning classification algorithms. Advances in Computing and Data Science - Second International Conference, ICACDS 2018, Revised Selected Papers. editor / Tuncer Ören ; P. K. Gupta ; Jan Flusser ; Vipin Tyagi ; Mayank Singh. Springer Verlag, 2018. pp. 489-497 (Communications in Computer and Information Science).

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Veena, KM , Manjula Shenoy, K & Ajitha Shenoy, KB 2018, Performance comparison of machine learning classification algorithms. in T Ören, PK Gupta, J Flusser, V Tyagi & M Singh (eds), Advances in Computing and Data Science - Second International Conference, ICACDS 2018, Revised Selected Papers. Communications in Computer and Information Science, vol. 906, Springer Verlag, pp. 489-497, 2nd International Conference on Advances in Computing and Data Sciences, ICACDS 2018, Dehradun, India, 20-04-18. https://doi.org/10.1007/978-981-13-1813-9_49

Performance comparison of machine learning classification algorithms. / Veena, K. M.; Manjula Shenoy, K.; Ajitha Shenoy, K. B.
Advances in Computing and Data Science - Second International Conference, ICACDS 2018, Revised Selected Papers. ed. / Tuncer Ören; P. K. Gupta; Jan Flusser; Vipin Tyagi; Mayank Singh. Springer Verlag, 2018. p. 489-497 (Communications in Computer and Information Science; Vol. 906).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - Classification of binary and multi-class datasets to draw meaningful decisions is the key in today’s scientific world. Machine learning algorithms are known to effectively classify complex datasets. This paper attempts to study and compare the classification performance if four supervised machine learning classification algorithms, viz., “Classification And Regression Trees, k-Nearest Neighbor, Support Vector Machines and Naive Bayes” to five different types of data sets, viz., mushrooms, page-block, satimage, thyroid and wine. The classification accuracy of each algorithm is evaluated using the 10-fold cross-validation technique. “The Classification And Regression Tree” algorithm is found to give the best classification accuracy.

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Veena KM , Manjula Shenoy K , Ajitha Shenoy KB. Performance comparison of machine learning classification algorithms. In Ören T, Gupta PK, Flusser J, Tyagi V, Singh M, editors, Advances in Computing and Data Science - Second International Conference, ICACDS 2018, Revised Selected Papers. Springer Verlag. 2018. p. 489-497. (Communications in Computer and Information Science). doi: 10.1007/978-981-13-1813-9_49

Performance comparison of machine learning classification algorithms

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