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Found 2 papers, 1 papers with code
A Meta-analytical Comparison of Naive Bayes and Random Forest for Software Defect Prediction
We conducted a systematic literature review by establishing criteria to search and choose papers, resulting in five studies.
What augmentations are sensitive to hyper-parameters and why?
We apply augmentations to our dataset to enhance the quality of our predictions and make our final models more resilient to noisy data and domain drifts.
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