Feature Selection

Finding the most significant predictors is the goal of some data mining projects. For example, a model might seek to find the principal characteristics of clients who pose a high credit risk.

Attribute importance is also useful as a preprocessing step in classification modeling. Decision Tree and Generalized Linear Models benefit from this type of preprocessing. Oracle Data Mining implements feature selection for optimization within both of these algorithms

Oracle Data Miner provides the Attribute Importance setting of the Filter Columns transformation to identify important features using the Oracle Data Mining importance function.