Comparative Analysis of Decision Tree, Random Forest, SVM, Logistic Regression and XGBoost for Cervical Cancer Risk Prediction
Cervical cancer remains one of the leading causes of cancer-related mortality among women worldwide, particularly in low- and middle-income countries where access to early screening and diagnosis is limited. Accurate prediction of cervical cancer threat using machine learning techniques can support early intervention,...