Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...

The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...

Abstract: This paper compares Random Forest and Logistic Regression for predicting student placement based on age, GPA, failed courses, and attendance. Data preprocessing included normalization, ...

ABSTRACT: Mobile money services have revolutionized financial inclusion in developing economies, yet they face significant security challenges from increasingly sophisticated fraud attacks. This paper ...