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

A logistic regression model will have one weight value for each predictor variable ... This allows the closure function to be passed by name, without parameters, to any statement within the container ...

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 ...

A model with eight independent risk factors can predict the risk for deep vein thrombosis (DVT) in patients with epithelial ...

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 ...