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.
- Type: Data Training data
- Type: Weka 3.7 Classifier Trained model
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