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 ...

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 ...

Thus, trees complement or represent an alternative to many traditional statistical techniques, including multiple regression, analysis of variance, logistic regression, log-linear models, linear ...

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 ...

Note that logistic regression, in spite of its name, is a binary classification algorithm, not a regression algorithm. This article presents a demo of k-nearest neighbors (k-NN) regression using the ...