Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

While both models showed remarkable prediction accuracy, decision trees offered an added advantage: interpretability.

Breast cancer poses a real and immense threat to humankind, thus a need to develop a way of diagnosing this devastating disease early, accurately, and in a simpler manner. Thus, while substantial ...