TabKANet for Software Defect Prediction: An Oversampling and Feature-Selection Ablation Study
Setyo Wahyu Saputro, M. Faza, Azhiman Saputra Setyo et al.
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Open access
Aug 2026
Comparative Evaluation of TabKANet with Oversampling and Feature Selection Ablation for Software Defect Prediction
TabKANet is a competitive architecture for all-numerical, highly imbalanced SDP, matching strong neural baselines and surpassing TabNet, where effective class weighting alone suffices and SMOTE is counter-productive.
Muhammad Faza Azhiman Saputra, Setyo Wahyu Saputro, M. Faisal et al.
· Indonesian Journal of Electr... · 0 citations