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 ( 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: Data Training data

Output Ports

  1. Type: Weka 3.7 Classifier Trained model

Find here

Analytics > Mining > Weka > Weka (3.7) > Classification Algorithms > trees

Make sure to have this extension installed:

KNIME Weka Data Mining Integration (3.7)

Update site for KNIME Analytics Platform 3.7:
KNIME Analytics Platform 3.7 Update Site

How to install extensions