Class for constructing an unpruned decision tree based on the ID3 algorithm
Can only deal with nominal attributes.No missing values allowed.
Empty leaves may result in unclassified instances.For more information see:
R. Quinlan (1986). Induction of decision trees. Machine Learning. 1(1):81-106.
(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