The Effect of Data Conversion Methods (Naive Bayes, C5.0 & Support Vector Machine) on the Performance of Classification Algorithms in Data Mining
In the study, sample distributions (Normal, Chi-square, F), number of observations (100, 500, 1000, 10000) and class distribution rates (0.1, 0.2, 0.3, 0.4, 0.5) were evaluated. It was aimed to examine the effects of data transformation on naive Bayes (NB), C5.0 and support vector machines (SVM) by...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Technology and Education Galileo da Amazônia
2025-07-01
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| Series: | ITEGAM-JETIA |
| Online Access: | http://itegam-jetia.org/journal/index.php/jetia/article/view/1718 |
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