Indonesian Journal of Data and Science
Vol. 4 No. 2 (2023): Indonesian Journal of Data and Science

Performance Comparison Analysis of Classifiers on Binary Classification Dataset

Rahmat Fuadi Syam (Universitas Pancasakti)
Rahmadani (Universitas Muslim Indonesia)



Article Info

Publish Date
31 Jul 2023

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.

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Journal Info

Abbrev

ijodas

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Mathematics

Description

IJODAS provides online media to publish scientific articles from research in the field of Data Science, Data Mining, Data Communication, Data Security and Data ...