IsotonicRegression (3.7)

Learns an isotonic regression model

Picks the attribute that results in the lowest squared error.Missing values are not allowed.

Can only deal with numeric attributes.Considers the monotonically increasing case as well as the monotonicallydecreasing case

(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.

Input ports

1. Type: Table
   Training data
   Training data

Output ports

1. Type: Weka 3.7 Classifier
   Trained model
   Trained model