A Survey on Major Classification Algorithms and Comparative Analysis of Few Classification Algorithms on Contact Lenses Data Set Using Data Mining Tool

Syed Nawaz Pasha, D. Ramesh and Mohammad Sallauddin
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Syed Nawaz Pasha: S R Engineering College, Department of CSE
D. Ramesh: S R Engineering College, Department of CSE
Mohammad Sallauddin: S R Engineering College, Department of CSE

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 1201-1209 from Springer

Abstract: Abstract With the data being immensely distributed and the need to analyze the data, data mining has gained importance over the years. The data is analyzed to make some strategic decisions and to derive some patterns out of it. Classification algorithms are classical data mining models to excerpt knowledge from bulk amount of data. The focus of the work is on comparison of various decision tree classification algorithms using WEKA tool taking contact lenses dataset. The methods used for classifier comparison are accuracy, mean absolute error and root mean squared error. The outputs are captured using training data set and then compared to understand the accuracy of the classifiers.

Keywords: Data mining; Data set; Contact lenses; Classification (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_121

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DOI: 10.1007/978-3-030-41862-5_121

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