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, ...

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 ...