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Battle of the Algorithms: An Exposé on Classification Techniques in Machine Learning

T. Aditya Sai Srinivas, B. Thulasi Thanmai, A. David Donald, G. Thippanna, I. Venkat Sai, I. V. Dwaraka Srihith

Abstract


Machine learning has become a powerful tool in various domains, and practitioners are constantly seeking real-life use cases to develop unique and practical projects. In this context, a compelling machine learning project involves comparing classification algorithms, which allows for a comprehensive evaluation of their performance. This article aims to provide insights into comparing classification algorithms in machine learning, focusing on practicality and uniqueness. By utilizing Python, we showcase a detailed comparison of various classification algorithms to facilitate understanding and decision-making. The article serves as a valuable resource for individuals interested in exploring the process of comparing classification algorithms and gaining a deeper understanding of their strengths and weaknesses.


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