Stepwise regression is widely used (e.g. Murtaugh, 2009), but often criticized (e.g. Flom and Cassell, 2007). Machine Learning methods such as Lasso, Ridge, and Elastic Net regression are generally ...

Stepwise regression has its downsides, however, as it is an approach that fits data into a model to achieve the desired result. Types of Stepwise Regression .

Abstract: The article examines the application of dimensionality reduction methods based on logistic regression, such as stepwise selection and LASSO, when solving the problem of feature selection by ...

Based on the stepwise regression method, a optimal multiple regression model is established by PYTHON, and the significant variables which are closely related to tail strike are found. According to ...