Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...