A Meta-analytical Comparison of Naive Bayes and Random Forest for Software Defect Prediction
Abstract
Is there a statistical difference between Naive Bayes and Random Forest in terms of recall, f-measure, and precision for predicting software defects? By utilizing systematic literature review and meta-analysis, we are answering this question. We conducted a systematic literature review by establishing criteria to search and choose papers, resulting in five studies. After that, using the meta-data and forest-plots of five chosen papers, we conducted a meta-analysis to compare the two models. The results have shown that there is no significant statistical evidence that Naive Bayes perform differently from Random Forest in terms of recall, f-measure, and precision.
- Publication:
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arXiv e-prints
- Pub Date:
- June 2023
- DOI:
- 10.48550/arXiv.2306.15369
- arXiv:
- arXiv:2306.15369
- Bibcode:
- 2023arXiv230615369A
- Keywords:
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- Computer Science - Software Engineering;
- Computer Science - Machine Learning
- E-Print:
- 11 pages, 8 figures, Conference Paper