A survey on various supervised classification algorithms
Uma Narayanan, Athira Unnikrishnan, Varghese Paul, Shelbi Joseph · 2017
Machine learning is concerned with the development, the analysis and the applications of algorithms that allow computers to learn. Supervised learning is the machine learning task of inferring a function from labelled training data. In this paper, we present a survey of various supervised classification techniques. The goal of this survey is to provide an inclusive review of different supervised classification techniques such as decision tree, Support Vector Machine, Naive Bayes, K-Nearest Neighbour, Neural Network.