Objective Breast cancer, a global concern predominantly impacting women, poses a significant threat when not identified early. While survival rates for breast cancer patients are typically favorable,
Each experiment in this paper employs three classifiers: k-nearest neighbor (kNN), Naive Bayes (NB), and Support Vector Machine (SVM). For ease of the reader we provide a metholodogical summary for ea
