A regression scheme that employs any classifier on a copy of the data that has the class attribute discretized
The predicted value is the expected value of the mean class value for each discretized interval (based on the predicted probabilities for each interval).This class now also supports conditional density estimation by building a univariate density estimator from the target values in the training data, weighted by the class probabilities.
For more information on this process, see
Eibe Frank, Remco R.Bouckaert: Conditional Density Estimation with Class Probability Estimators.
In: First Asian Conference on Machine Learning, Berlin, 65-81, 2009.
(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.