Making Better Use of Global Discretization

Before applying learning algorithms to datasets, practitioners often globally dis- cretize any numeric attributes. If the algo- rithm cannot handle numeric attributes di- rectly, prior discretization is essential. Even if it can, prior discretization often acceler- ates induction, and may produce simpler and more accurate classifiers. As ...更多