- Type: TableInputInput data with binary target
This Component can be used to visualise the Feature/variable importance in a binary classification sceanrio. It used the Random forest importance calculater function in python to calculate the importance of the variables. The python script nodes are encapsulated in this component, the user do not have to set up the python environment, the conda propagation node will set up all the required libararies to the user system Can be used on KAP version 4.3 and above
- Type: TableOutputFeature Importance table
Used extensions & nodes
Created with KNIME Analytics Platform version 4.3.1
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