I have outputs (predicted data) from 6 different PMML Predictors. My goal is to visualize the output (predicted data) from all 6 PPM Predictors together in 1 node. If possible as a text.
May anyone knows how I can do so?
Thank you for your feedback.
@LukasB question is what you mean by
Do you want the statistics (AUC, RMSE?) as text or some sort of graphic?
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.
Binary Classification Inspector – KNIME Hub might be an option:
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…
Thank you for your feedback. May I provide you with some more insights.
I trained 6 models, deployed them, and tested them with new data. Now, I have 6 results (e.g. calculate average grade or check in anabin) for all ca. 100 entries (test data set). My goal is to combine all 6 predictions for all 100 entries in 1 single text file. Then it is possible to see all 6 results per person on 1 single line instead of 6 different lines.
Maybe another visualization. At the end, all 6 results are combined. Here an example only with 2 results instead of 6.
Just for the message
@mlauber71 thank you
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