Dear Knimers,
I am working on a binary classification random forest model to identify active and inactive ligands. I am wondering if it is possible to calculate uncertainty in Knime using random forest or SVM models?
Thanks
Dear Knimers,
I am working on a binary classification random forest model to identify active and inactive ligands. I am wondering if it is possible to calculate uncertainty in Knime using random forest or SVM models?
Thanks
Hey @naraj,
have a look at the Entropy Uncertainty Scorer. In case you are using the uncertainty score for an active learning approach, you can also have a look at this simple workflow using and SVM model: Active Learning with Basic SVM Model
I hope that helps. Let me know if you have more questions,
Janina
Hi Janina,
Thanks for your reply.
I am wondering if I can use normalised class distributions obtained from SVM model as an input for Entropy Uncertainty Scorer node?
Best wishes,
Nasir
Hi @naraj,
yes, you can simply use the normalised class distributions from the SVM predictor node as an input.
Kind regards,
Janina
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