Logistic regression is a statistical method used to examine the relationship between a binary outcome variable and one or more explanatory variables. It is a special case of a regression model that ...

This article assumes you have intermediate or better programming skill but doesn't assume you know anything about neural network regression. The demo is implemented using C#, but with a bit of effort ...

The Data Science Lab Regression Using a scikit MLPRegressor Neural Network Dr. James McCaffrey of Microsoft Research uses a full-code, step-by-step demo to show how to predict the annual income of a ...

As one of the most popular classification methods, the logistic regression model has been studied extensively. Essentially, the model assumes that an individual's class label is influenced by a set of ...

Based on recent years' financial data of US restaurant firms, this study developed failure prediction models using logistic regression and artificial neural networks (ANNs). The findings show that the ...