Evaluating Classification Model Performance

#1

Train a classification model using the Decision Tree algorithm. Evaluate the accuracy of the class prediction by scoring metrics, ROC Curve and Lift Chart.


This is a companion discussion topic for the original entry at https://hub.knime.com/knime/workflows/Examples/04_Analytics/10_Scoring/01_Evaluating_Classification_Model_Performance*wWrebA_HNv4hHDDG
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#2

Great job @Maarit !
Finally we have a simple brand new workflow showing how to score classification models!
I love the fact that now you can open an interactive node with the new Scorer (JavaScript) node !

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#3

Thanks @paolotamag! Yes - those interactive views are nice on their own like this, but even more powerful when combined with other views in components. I am currently working on more of these examples, and they will all be shared here via the Workflow Hub!

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