Abstract Paper

Title	: A Review on Classification of Machine Learning Algorithms
Author(s)	: K. Shanthi, R. Suguna
Article Information	: Volume 4 - Issue 1 (May - 2020) , 99 - 105
Affiliation(s)	: Research Scholar, Department of Computer Science, Theivanai Ammal College for Women, Thiruvalluvar University,Villupuram, TamilNadu,605602, India .
	: Assistant Professor, Department of Computer Science, Theivanai Ammal College for Women, Thiruvalluvar University,Villupuram, TamilNadu,605602, India

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Abstract :

Abstract — - Machine learning comes under artificial intelligence that is it’s an application of AI. In the current world a large amount of data available, it is very important to analyze and extract useful information. Machine learning is used to design the algorithm to perform a task without relying on patterns and explicit instruction. In Machine learning, computer programs are built on the sample data based on the mathematical model which is known as training data, the main aim is computer should learn automatically from the data without human support and take decision accordingly. The fields where machine learning algorithm used are computer vision, malware detection, email filtering, bioinformatics, intrusion detection, Information retrieval and so on where it is difficult to develop a conventional algorithm for performing an effective task. The primary objective of this paper is to highlight the merit and demerit of the classification algorithm used in many applications, which helps in deciding which machine learning algorithm can be used to fulfil the requirement of the application.

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Keywords	: Machine learning, Classification, Decision Trees, SVM, KNN, Naïve Bayes Classification, Linear Regression
Document Type	: Research Paper
DOI	: Volume 4 - Issue 1 (May - 2020)
Publication date	: July 09, 2020

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