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.
URL: Cohen's Kappa: Learn It, Use It, Judge It https://www.knime.com/blog/cohens-kappa-an-overview
URL: Scoring Metrics eBook https://www.knime.com/knimepress/scoring-metrics-evaluating-machine-learning-models
To use this workflow in KNIME, download it from the below URL and open it in KNIME:
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