This month we'll look at classification and regression trees (CART), a simple but powerful approach to prediction 3. Unlike logistic and linear regression, CART does not develop a prediction equation.

Course TopicsClassification and regression tree (CART) methods are a class of data mining techniques which constitute an alternative approach to classical regression. CART methods are frequently used ...

Which kind of algorithm works best (supervised, unsupervised, classification, regression, etc.) depends on the kind of problem you’re solving, the computing resources available, and the nature ...

Which kind of algorithm works best (supervised, unsupervised, classification, regression, etc.) depends on the kind of problem you’re solving, the computing resources available, and the nature ...

Classification and Regression Trees to Predict for Survival for Patients With Hepatocellular Carcinoma Treated With Atezolizumab and Bevacizumab. JCO Clin Cancer Inform 8 , e2300220 (2024). DOI: ...

But there is also some empirical work comparing various algorithms across many datasets and drawing some conclusions, what types of problems tend to do better with trees vs logistic regression.

In this study, using a data set composed of five Japanese regional banks, we propose an LGD estimation model using a two- stage model, classification tree-based boosting and support vector regression ...

PURPOSESystemic therapy with atezolizumab and bevacizumab can extend life for patients with advanced hepatocellular carcinoma (HCC). However, there is substantial variability in response to therapy ...