We can state the problem of learning decision trees as follows: We have a set of examples correctly categorised into categories (decisions). We also have a set of attributes describing the examples, ...

A decision tree classifier is a machine learning (ML) prediction system that generates rules ... The prediction accuracy of a minimal tree gives you a baseline comparison value. For example, suppose ...

Decision trees are constructed by analyzing a set of training examples for which the class ... Boosting 10 is a machine-learning method used to combine multiple classifiers into a stronger ...

For example, a decision tree can help managers determine ... and optimize decision trees using machine learning techniques. R generally has a better ability to handle large datasets and perform ...