Tree Modeler & Eval

(Used to demonstrate the usage of components during a session at KNIME Fall Summit 2019 in Austin.)

The component is using a tree ensemble to learn a predictive model, whereby it assesses performance on the out of bag set, showing the results (accuracy etc) in the component view.

Input ports

1. Type: Table
   Training Data
   Just any data set for which a classification model is to be learned.

Output ports

1. Type: PMML
   Port 1