Impact Evaluation of Significant Feature Set in Cross Project for Defect Prediction through Hybrid Feature Selection in Multiclass
M. Aljaidi, S. Gul, R. Faiz, G. Samara, A. Alsarhan, A. al-Qerem
The paper evaluates the impact of hybrid feature selection on cross-project defect prediction accuracy in multi-class datasets using Random Forest and Recursive Feature Elimination Cross Validation.
bioRxiv · Jul 20, 2023 · PreprintScientific Communication & Education