Basic logistic regression can be used for binary classification, for example predicting if a person is male or female based on predictors such as age, height, annual income, and so on. Multi-class ...

Binary logistic regression: also referred to as binomial or simply logistic regression, this is when the outcome variable has two categories (e.g. death, ... In machine learning, it is used mainly as ...

Logistic Regression attains an accuracy of 0.969 and a F1-score of 0.628. Classification is a popular task in the field of Machine Learning (ML) and Artificial Intelligence (AI), and it happens ...

We present a simple Bayesian logistic regression approach that uses a Laplace prior to avoid overfitting and produces sparse predictive models for text data. We apply this approach to a range of ...