International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF
Volume 73 | Issue 10 | Year 2025 | Article Id. IJCTT-V73I10P103 | DOI : https://doi.org/10.14445/22312803/IJCTT-V73I10P103

Comparative Study on Supervised Machine Learning Algorithms using Rapid Miner and the Weka tool

Puneet Kour, Rakshit Khajuria, Jewan Jot

Received Revised Accepted Published
22 Aug 2025 26 Sep 2025 13 Oct 2025 29 Nov 2025

Citation :

Puneet Kour, Rakshit Khajuria, Jewan Jot, "Comparative Study on Supervised Machine Learning Algorithms using Rapid Miner and the Weka tool," International Journal of Computer Trends and Technology (IJCTT), vol. 73, no. 10, pp. 15-24, 2025. Crossref, https://doi.org/10.14445/22312803/IJCTT-V73I10P103

Abstract

The performance of various supervised machine learning approaches was compared in this paper, utilizing a variety of visualization tools, including Orange, Weka, and RapidMiner. In addition, machine learning methods such as logistic regression, decision trees, support vector machines, linear regression, and Classification (Naïve Bayes) are used to analyze bacterial cell data and predict the outcome of bacterial cell detection on an agar plate. Furthermore, we use the RapidMiner tool to examine the outputs of various classifiers and determine which one works better than the others. With an 80:20 ratio, decision trees perform 92% more accurately than the alternative method. 

Keywords

Machine Learning, Classification, RapidMiner, Artificial Intelligence, Supervised Learning.

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