There are roughly a dozen major regression techniques, and each technique has several variations. Among the most common techniques are linear regression, linear ridge regression, k-nearest neighbors ...

Additive models and tree-based regression models are two main classes of statistical models used to predict the scores on a continuous response variable. It is known that additive models become very ...

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

A tree-based method to handle such survival data is developed for the assessment and estimation of time-dependent regression effects under a Cox-type model. The tree method approximates the ...

Because our sample is relatively small (n = 30), our regression tree prediction based on the entire sample is coarse (Fig. 1a).