A comparison of logistic functions. Logistic regression models have one dependent variable and several independent categorical or continuous predictor variables. Unlike standard linear regression ...

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

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 ...

A good way to get a feel for what multi-class logistic regression classification is and to see where this article is headed is to take a look at the screenshot of a demo program in Figure 1. The goal ...

Regression models predict outcomes like housing prices ... might be predicted using multiple linear regression. Logistic regression. In logistics regression, you can use machine learning to ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end program that explains how to perform binary classification (predicting a variable with two possible discrete values) using ...

We assessed to what degree and under what conditions Cox proportional hazards models have more statistical power than logistic regression models in cross-sectional genetic association analyses.