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 ...

In machine learning, it is used mainly as a binary classification ... and when including other variables in a multiple logistic regression (such as age, sex and socioeconomic status), the odds of ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

This is the first study reporting the use of this technology, called logistic regression analysis ... "In face recognition, smartphones use machine learning to classify faces and things that ...

TRAIL Score: A Simple Model to Predict Immunochemotherapy Tolerability in Patients With Diffuse Large B-Cell Lymphoma We trained models using logistic regression (LR ... support vector machine, ...