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

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 ...

Our framework, which we refer to as LORET (for LOgistic REgression Trees), contains standard methods such as logistic regression and classification trees as special cases and allows for a synthesis of ...

There are many other techniques for binary classification. Logistic regression is often considered the most fundamental. Other techniques include neural network binary classification, AdaBoost ...

Following decision tree generation, we performed multivariable logistic regression on the variables included in the CART analysis to assess their individual effect size estimation with the occurrence ...

Regression trees are applied to evaluate system performance – using two water quality and two economic performance metrics. Regression trees facilitated insights into the significance of uncertain ...