Comparison of Classification Data Mining C4.5 and Naïve Bayes Algorithms of EDM Dataset

The purpose of this research is to choose the best method by comparing two classification methods of data mining C4.5 and Naïve Bayes on Educational Data Mining, in which the data used is student graduation data consisting of 79 records. Both methods are tested for validation with 10-ford X Validati...

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Autores principales: Joseph Teguh Santoso, Ni Luh Wiwik Sri Rahayu Ginantra, Muhammad Arifin, R Riinawati, Dadang Sudrajat, Robbi Rahim
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Publicado: UIKTEN 2021
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spelling oai:doaj.org-article:01fc42e0d3f34eb19caba8de80832dfc2021-12-01T20:51:40ZComparison of Classification Data Mining C4.5 and Naïve Bayes Algorithms of EDM Dataset10.18421/TEM104-342217-83092217-8333https://doaj.org/article/01fc42e0d3f34eb19caba8de80832dfc2021-11-01T00:00:00Zhttps://www.temjournal.com/content/104/TEMJournalNovember2021_1738_1744.pdfhttps://doaj.org/toc/2217-8309https://doaj.org/toc/2217-8333The purpose of this research is to choose the best method by comparing two classification methods of data mining C4.5 and Naïve Bayes on Educational Data Mining, in which the data used is student graduation data consisting of 79 records. Both methods are tested for validation with 10-ford X Validation and perform a T-Test difference test to produce a table that contains the best method ranking. Different results were obtained for each method. Based on the results of these two methods, it is very influential on the dataset and the value of the area under curve in the Naïve Bayes method is better than the C4.5 method in various datasets. Comparison of the method with the 10-Ford X Validation test and the T-Test difference test is that the Naïve Bayes method is better than C4.5 with an average accuracy value of 73.41% and an under-curve area of 0.664.Joseph Teguh SantosoNi Luh Wiwik Sri Rahayu GinantraMuhammad ArifinR RiinawatiDadang SudrajatRobbi RahimUIKTENarticlecomparisondata miningclassificationc4.5naive bayesperformanceedmEducationLTechnologyTENTEM Journal, Vol 10, Iss 4, Pp 1738-1744 (2021)
institution DOAJ
collection DOAJ
language EN
topic comparison
data mining
classification
c4.5
naive bayes
performance
edm
Education
L
Technology
T
spellingShingle comparison
data mining
classification
c4.5
naive bayes
performance
edm
Education
L
Technology
T
Joseph Teguh Santoso
Ni Luh Wiwik Sri Rahayu Ginantra
Muhammad Arifin
R Riinawati
Dadang Sudrajat
Robbi Rahim
Comparison of Classification Data Mining C4.5 and Naïve Bayes Algorithms of EDM Dataset
description The purpose of this research is to choose the best method by comparing two classification methods of data mining C4.5 and Naïve Bayes on Educational Data Mining, in which the data used is student graduation data consisting of 79 records. Both methods are tested for validation with 10-ford X Validation and perform a T-Test difference test to produce a table that contains the best method ranking. Different results were obtained for each method. Based on the results of these two methods, it is very influential on the dataset and the value of the area under curve in the Naïve Bayes method is better than the C4.5 method in various datasets. Comparison of the method with the 10-Ford X Validation test and the T-Test difference test is that the Naïve Bayes method is better than C4.5 with an average accuracy value of 73.41% and an under-curve area of 0.664.
format article
author Joseph Teguh Santoso
Ni Luh Wiwik Sri Rahayu Ginantra
Muhammad Arifin
R Riinawati
Dadang Sudrajat
Robbi Rahim
author_facet Joseph Teguh Santoso
Ni Luh Wiwik Sri Rahayu Ginantra
Muhammad Arifin
R Riinawati
Dadang Sudrajat
Robbi Rahim
author_sort Joseph Teguh Santoso
title Comparison of Classification Data Mining C4.5 and Naïve Bayes Algorithms of EDM Dataset
title_short Comparison of Classification Data Mining C4.5 and Naïve Bayes Algorithms of EDM Dataset
title_full Comparison of Classification Data Mining C4.5 and Naïve Bayes Algorithms of EDM Dataset
title_fullStr Comparison of Classification Data Mining C4.5 and Naïve Bayes Algorithms of EDM Dataset
title_full_unstemmed Comparison of Classification Data Mining C4.5 and Naïve Bayes Algorithms of EDM Dataset
title_sort comparison of classification data mining c4.5 and naïve bayes algorithms of edm dataset
publisher UIKTEN
publishDate 2021
url https://doaj.org/article/01fc42e0d3f34eb19caba8de80832dfc
work_keys_str_mv AT josephteguhsantoso comparisonofclassificationdataminingc45andnaivebayesalgorithmsofedmdataset
AT niluhwiwiksrirahayuginantra comparisonofclassificationdataminingc45andnaivebayesalgorithmsofedmdataset
AT muhammadarifin comparisonofclassificationdataminingc45andnaivebayesalgorithmsofedmdataset
AT rriinawati comparisonofclassificationdataminingc45andnaivebayesalgorithmsofedmdataset
AT dadangsudrajat comparisonofclassificationdataminingc45andnaivebayesalgorithmsofedmdataset
AT robbirahim comparisonofclassificationdataminingc45andnaivebayesalgorithmsofedmdataset
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