Train a classification model using the Decision Tree algorithm. Evaluate the accuracy of the class prediction by scoring metrics, ROC Curve, and Lift Chart.
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 !
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!
Related to this topic of evaluating model performance.
Feature request: Scorer JavaScript
testing classification models (different types or just different features etc) to see which perform the best on the data you have
would like to be able to connect multiple Predictors into the Scorer… and the Scorer retains the input table name or Node name… that way the Lift and ROC curve can be plotted on one graph so you can see performance across models