Additionally, regression analysis relies on predefined models such as linear or logistic regression, whereas machine learning can use various types of models, like neural networks or decision ...

This is closely related to the traditional statistical application of the method, the key difference being that in machine learning, logistic regression is used to develop a model that learns from ...

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 ...

They tend to think that it is a regression algorithm. But, this is not true. Logistic Regression is the classification algorithm and it is used for supervised learning classification problems. So, I ...

Keywords: machine learning, random forest, logistic regression, adult sepsis, mortality. Citation: Wu H, Liao B, Ji T, Ma K, Luo Y and Zhang S (2025) Comparison between traditional logistic regression ...