Analysis of Classification Algorithms Compatible with E-commerce Technology

  • Shefali Singhal, Dr. Poonam Tanwar

Abstract

Machine learning (ML) and predictive modeling are the technologies which supports each other in developing results for making predictions. On the basis of problem domain, one can select an algorithm among various other types of ML algorithms. In this study, online business domain has been considered for analysis. Among the classification algorithms for supervised learning, Naïve Bayes (NB), Neural network (NN) and K-nearest neighbor (KNN) algorithms have been performing well in the online business domain. Further these algorithms have been compared and analyzed on the basis of different parameters. The graph generated provides a clearer view about these algorithms.

Published
2020-03-30
How to Cite
Shefali Singhal, Dr. Poonam Tanwar. (2020). Analysis of Classification Algorithms Compatible with E-commerce Technology. International Journal of Advanced Science and Technology, 29(3), 14329 -. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/31917
Section
Articles