This workflow shows how to train and test a basic classification model. Using the adult dataset, a decision tree is trained and tested to predict the "income" class column. Testing is obtained via simple accuracy measures via the Scorer node, the ROC curve, and a Cross Validation loop.
Used extensions & nodes
Created with KNIME Analytics Platform version 4.3.1
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