Classification 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 in ...

Then the demo uses the ML.NET library to create and train a logistic regression binary classification model ... (gradient boosting machine), and FastForestBinary (decision tree). Different classifiers ...

34 potential prognostic factors were used in this analysis. Results Four classification trees (prognostic pathways or decision trees) were created, one for each outcome. The most important predictor ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...