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 ...

To build a decision tree for patients suspected of having prostate cancer using classification and regression tree (CART) analysis.