However, the logistic regression had lower specificity than the clinical algorithm in both cohorts. The three-way agreement of the clinical algorithm, logistic regression, and SEER-recorded stage in ...

Logistic regression is a powerful technique for fitting models to data with a binary response variable, but the models are difficult to interpret if collinearity, nonlinearity, or interactions are ...

The four ML algorithms were selected as their accuracy and efficiency on structured health records have been previously demonstrated. 12, 14 Initial tests demonstrated the superior performance of ...

Logistic regression analysis of high-dimensional data, such as natural language text, poses computational and statistical challenges. Maximum likelihood estimation often fails in these applications.

As defined on TechTarget, logistic regression is a statistical analysis method used to predict a data value based on prior observations of a data set.

What are the advantages of logistic regression over decision trees? This question was originally answered on Quora by Claudia Perlich.