Calculate feature importance in a multi-class classification by KNIME?

[mlauber71]

@qianyi I forgot to mention the special handling of the ports. Maybe try it like this:

Auto-ML. Output port has no data to display.

One remark about AutoML. It seems that when you want to store the resulting workflow and load it again you will have to remove the input and output that has been stored with the workflow so as to allow the use of the new data. [image] Also then with the Workflow Executor you will have to adjust the input and output sessions once. [image] Now the Executor is ready to receive the new data (which obviously has to have the same structure as the training data). And will give the results: [ima…

Execute Workflow with Python - Inspect Output

@Brock_Tibert you would need a Container Output (Table) – KNIME Community Hub in the knime workflow to use the syntax output_table = wf.data_table_outputs[0] # output_table will be a pd.DataFrame Otherwise the python module would not know what data to use. Another approach could be to try and call the workflow from another one and apply the input and output port and then see if everything would work. So you might have to tell your students to use these container outputs. Workflows ca…