Class for performing parameter selection by cross-validation for any classifier. For more information, see: R
Kohavi (1995).Wrappers for Performance Enhancement and Oblivious Decision Graphs.
Department of Computer Science, Stanford University.
(based on WEKA 3.7)
For further options, click the 'More' - button in the dialog.
All weka dialogs have a panel where you can specify classifier-specific parameters.
- Type: Data Training data
- Type: Weka 3.7 Classifier Trained model
Analytics > Mining > Weka > Weka (3.7) > Classification Algorithms > meta
Make sure to have this extension installed: