When building and optimizing your classification model, measuring how accurately it predicts your expected outcome is crucial. However, this metric alone is never the entire story, as it can still offer misleading results. That’s where these additional performance evaluations come into play to help tease out more meaning from your model.
Originally from KDnuggets https://ift.tt/3dRxZpx
source https://365datascience.weebly.com/the-best-data-science-blog-2020/more-performance-evaluation-metrics-for-classification-problems-you-should-know
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