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Paper Details
Paper Title
Evaluating classification algorithms on a multi-class single feature problem
Authors
Devharsh Trivedi
Abstract
Machine learning is studying computer algorithms that improve automatically through experience and data use and is seen as a part of artificial intelligence. Classification is a task that depends on machine learning algorithms. Classification is the process of identifying and grouping objects into categories. This paper presents Fizz Buzz as a single feature supervised multi-class classification problem and evaluates the performance of various popular classification algorithms based on this problem.
Keywords- Machine learning, Classification, Evaluation.
Publication Details
Unique Identification Number - IJEDR2102036Page Number(s) - 219-227Pubished in - Volume 9 | Issue 2 | June 2021DOI (Digital Object Identifier) - http://doi.one/10.1729/Journal.27235Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Devharsh Trivedi, "Evaluating classification algorithms on a multi-class single feature problem", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.9, Issue 2, pp.219-227, June 2021, Available at :http://www.ijedr.org/papers/IJEDR2102036.pdf
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