Researchers from the US Air Force Medical Readiness Agency have been studying how logistic regression model training affects performance, and which features are best to include when examining ...

There are several ways to train a logistic regression model. Compared to other training algorithms, batch stochastic gradient descent with weight decay is especially effective for large datasets.

The goal of the demo is to predict the sex (0 = male, 1 = female) of a hospital patient based on age, county of residence, blood monocyte count and hospitalization history. The demo reads a 200-item ...

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 ...

What are the advantages of logistic regression over decision trees? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better ...

Logistic regression is the appropriate tool for such an investigation. Note that Model Pr{ }: determines which value of the dependent variable the model is based on; usually, the value representing an ...