Predicting male domestic violence using explainable ensemble learning and exploratory data analysis
A stacking ensemble model with ANN and CatBoost as base classifiers and Logistic Regression as the meta-model, which demonstrated the best performance, achieving 95% accuracy, a 99.29% AUC, and balanced metrics across evaluation criteria is proposed.
Md Abrar Jahin, Saleh Akram Naife, Fatema Tuj et al.
· Discover Applied Sciences · 2 citations