and a binary outcome variable (blindness, yes/no). The relationship between the variables can be summarized in a 2 x 2 table (Table 2). Alternatively, we could fit a simple logistic regression model ...

Basic logistic regression classification is arguably the most fundamental machine learning (ML) technique. Basic logistic regression can be used for binary classification ... The goal of the demo is ...

The demo program begins by loading the normalized training data into memory. Then the demo uses the ML.NET library to create and train a logistic regression binary classification model. The trained ...

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 ...