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All Journal Indonesian Journal of Data and Science
Rahmat Fuadi Syam
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Computer Science & IT Decision Sciences, Operations Research & Management Mathematics

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Journal : Indonesian Journal of Data and Science

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Performance Comparison Analysis of Classifiers on Binary Classification Dataset Rahmat Fuadi Syam; Rahmadani
Indonesian Journal of Data and Science Vol. 4 No. 2 (2023): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v4i2.77

Abstract

In this study, we compared the performance of Random Forest Classifier and Decision Tree using classification evaluation methods. The results showed that Random Forest Classifier had a higher overall accuracy rate but also produced more outliers. On the other hand, Decision Tree demonstrated consistency in classification with fewer outliers. These findings provide insights into the trade-off between accuracy and consistency when selecting the appropriate classification method. Furthermore, further research is needed to understand the impact of outliers on classification performance and to take appropriate steps in addressing them.
Co-Authors Rahmadani