Merge the output (predicted data) from (6) different PMML Predictors in one node (visualization)

[mlauber71]

@LukasB question is what you mean by

@LukasB

My goal is to visualize the output (predicted data) from all 6 PPM Predictors together in 1 node. If possible as a text.

Do you want the statistics (AUC, RMSE?) as text or some sort of graphic?

Combination of ROC curves and AUC comparison

This example might help you Also the description of the node itself You may compare the ROC curves of several trained models by first joining the class probability columns from the different predictors into one table and then selecting several column in the column filter panel.

The (new) Binary Classification Inspector – KNIME Community Hub might be an option:

Combination of ROC curves and AUC comparison

Hi @MarcB - In your workflow, you are generating a ROC curve for each model and then attempting to join them. But if you carefully look at the outputs from the data ports on those nodes, you’ll see that what is available is the overall AUC. You might want to take a look at this workflow that shows how you can plot multiple ROC results on a single curve: Here, the probabilities for each model are generated, and those columns are joined into a single table prior to display in a ROC curve node…