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Supervised Machine Learning Algorithms: Classification Comparison

Authors: AYANKOYA Folasade , Akinsola , AWODELE Oludele , Hinmikaye , Olakanmi , Akinjobi J.

Publication Type: Journal article

Journal: International Journal Of Computer Trends And Technology (ijctt)

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Abstract

Supervised Machine Learning (SML) is the search for algorithms that reason from externally supplied instances to produce general hypotheses, which then make predictions about future instances. Supervised classification is one of the tasks most frequently carried out by the intelligent systems. This paper describes various Supervised machine Learning (ML) classification techniques, compares various supervised learning algorithms as well as determines the most efficient classificdtion algorithm based on the data set, the number of instances and varidbles (fedtures).Seven different mdchine ledrning dlgorithms were considered:Decision Tdble, Rdndom Forest (RF) , Ndïve Bdyes (NB) , Support Vector Mdchine (SVM), Neurdl Networks (Perceptron), JRip dnd Decision Tree (J48) using Wdikdto Environment for Knowledge Dndlysis (WEKD)mdchine ledrning tool.To implement the dlgorithms, Didbetes ddtd set wds used for the cldssificdtion with 786 instdnces with eight dttributes ds independent vdridble dnd one ds dependent vdridble for the dndlysis. The results show thdt SVMwds found to be the dlgorithm with most precision dnd dccurdcy. Ndïve Bdyes dnd Rdndom Forest cldssificdtion dlgorithms were found to be the next dccurdte dfter SVM dccordingly. The resedrch shows thdt time tdken to build d model dnd precision (dccurdcy) is d fdctor on one hdnd; while kdppd stdtistic dnd Medn Dbsolute Error (MDE) is dnother fdctor on the other hdnd. Therefore, ML dlgorithms requires precision, dccurdcy dnd minimum error to hdve supervised predictive mdchine ledrning

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AYANKOYA,F. Akinsola,J. AWODELE,O. Hinmikaye,J. Olakanmi,O. Akinjobi,J. . (2017). Supervised Machine Learning Algorithms: Classification Comparison, 483 (), 128-128.

AYANKOYA,F. Akinsola,J. AWODELE,O. Hinmikaye,J. Olakanmi,O. Akinjobi,J. . "Supervised Machine Learning Algorithms: Classification Comparison" 483, no (), (2017): 128-128.

AYANKOYA,F. and Akinsola,J. and AWODELE,O. and Hinmikaye,J. and Olakanmi,O. and Akinjobi,J. and . (2017). Supervised Machine Learning Algorithms: Classification Comparison, 483 (), pp128-128.

AYANKOYAF, AkinsolaJ, AWODELEO, HinmikayeJ, OlakanmiO, AkinjobiJ, . Supervised Machine Learning Algorithms: Classification Comparison. 2017, 483 ():128-128.

AYANKOYA,Folasade , Akinsola,J.e.t , AWODELE,Oludele , Hinmikaye,J.o. , Olakanmi,O. , and Akinjobi,J. . "Supervised Machine Learning Algorithms: Classification Comparison", 483 . (2017) : 128-128.

A.Folasade A.J.e.t A.Oludele H.J.o. O.O. & A.J. , "Supervised Machine Learning Algorithms: Classification Comparison" vol.483, no., pp. 128-128, 2017.

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