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

Classification and Regression Trees (CART) Course Topics Classification and regression tree (CART) methods are a class of data mining techniques which constitute an alternative approach to classical ...

Classification and regression trees are ideally suited for the analysis of complex ecological data. For such data, we require flexible and robust analytical methods, which can deal with nonlinear ...

Stephen P. Curram, John Mingers, Neural Networks, Decision Tree Induction and Discriminant Analysis: An Empirical Comparison, The Journal of the Operational Research ...

Regression trees facilitated insights into the significance of uncertain factors and decision variables combinations on system performance. Additionally, they create highly interpretable framework ...

Classification and regression trees can identify 6-month mortality risk for patients with advanced hepatocellular carcinoma.