REPTree (3.7)

Fast decision tree learner

Builds a decision/regression tree using information gain/variance and prunes it using reduced-error pruning (with backfitting).Only sorts values for numeric attributes once.

Missing values are dealt with by splitting the corresponding instances into pieces (i.e.as in C4.5).

(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