The target attribute must be nominal.

Node details Ports Options Views.

Feb 15, Hi again! Thanks a lot for the explanation and the quick response. This was bugging me for years, and now I get it. Once again, thank you. The algorithm provides two quality measures for split calculation; the gini index and the gain ratio. Further, there exist a post pruning method to reduce the tree size and increase prediction accuracy.

A common strategy is to grow the tree until each node contains a small number of instances then use pruning to remove nodes that do not provide additional information.

The pruning method is based on the minimum description length principle. Pruning reduces tree size and avoids overfitting which increases the generalization performance, and thus, the prediction quality(for predictions, use the"Decision Tree Predictor" node).

Available is the"Minimal Description Length" (MDL) pruning orit can also be switched off. Reduced Error Pruning.