This workflow demonstrates how Cohen's kappa can be used to evaluate the performance of a classification model when dealing with imbalanced data. We also show how Cohen's kappa obtains greater values not only due to better model performance, but also because of a more balanced target class distribution.
Workflow
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Created with KNIME Analytics Platform version 5.3.2
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