I predict you'll find this logistic regression example with R to be helpful for gleaning useful information from common binary classification problems.

I predict you'll find this logistic regression example with R to be helpful for gleaning useful information from common binary classification problems.

A multivariate logistic regression model based on 3T mpMRI, clinical, and biopsy parameters for the prediction of prostate cancer extracapsular extension.

Djavan et al 1 clearly appreciate predictive accuracy. In the current issue of the Journal of Clinical Oncology, they compare an artificial neural network (ANN) prediction model with traditional ...

Binary-response regression models in which the link function is a family defined by one or more unknown shape parameters are considered. Detailed attention is given to the two single-parameter ...

David P. Duda, Patrick Minnis, Basic Diagnosis and Prediction of Persistent Contrail Occurrence Using High-Resolution Numerical Weather Analyses/Forecasts and Logistic Regression.

Logistic regression is a statistical tool that forms much of the basis of the field of machine learning and artificial intelligence, including prediction algorithms and neural networks.

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 ...