An Inclusive Study of Machine Learning Classification Algorithms

Abstract

Using machine learning we can develop applications using algorithms which makes computer to learn by own without being explicitly programmed. Supervised learning emphasis on labelled data to train the computer to obtain the desire output. This paper mainly presents the various supervised machine learning classification algorithms like decision tree, Support Vector Machine, Naive Bayes, Neural Network study in depth. Moreover, this paper presents the literature review of application domain like medical, education, agriculture and many more where these classification algorithms are already applied.