Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Symbolic regression is commonly considered in wide-ranging applications due to its inherent capability for learning both structure and weighting parameters of an interpretable model. However, for ...

Datasets were created for autumn, winter, and spring, with season-specific variables with respect to the place of study in the state of Assam, India. Multiple Linear Regression (MLR) and Artificial ...