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 ...

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

Decision tree accuracy is typically measured by metrics like classification accuracy (for classification tasks), or Mean Squared Error/R-squared (for regression tasks).

To investigate how students' characteristics and experiences affect satisfaction, this study uses regression and decision tree analysis with the CHAID algorithm to analyze student-opinion data. A data ...

For more information on this research see: Comparison and Analysis of the Effectiveness of Linear Regression, Decision Tree, and Random Forest Models for Health Insurance Premium Forecasting.

A classification and regression tree for patients with an exacerbation of chronic obstructive pulmonary disease appeared to identify a patient’s risk for 30-day or 60-day mortality when ...

Each technique has pros and cons. This article explains how to implement decision tree regression from scratch, using the C# language. Compared to other regression techniques, decision tree regression ...