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Logistic regression is a technique used to make predictions in situations where the item to predict can take one of just two possible values. For example, you might want to predict the credit ...

A closely related method is Pearson’s correlation coefficient, which also uses a regression line through the data points on a scatter plot to summarize the strength of an association between two ...

Logistic regression is one of many machine learning techniques for binary classification -- predicting one of two possible discrete values. An example is predicting if a hospital patient is male or ...

This article discusses some major uses of the logistic regression model in social data analysis. Using the example of personal happiness, a trichotomous variable from the 1993 General Social Survey (n ...

Anthony Y. C. Kuk, Chen-Hsin Chen, A Mixture Model Combining Logistic Regression with Proportional Hazards Regression, Biometrika, Vol. 79, No. 3 (Sep., 1992), pp ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...