Visualization Guidelines for Model Performance Communication Between Data Scientists and Subject Matter Experts. (arXiv:2205.05749v1 [cs.HC])

Presenting the complexities of a model's performance is a communication
bottleneck that threatens collaborations between data scientists and subject
matter experts. Accuracy and error metrics alone fail to tell the whole story
of a model - its risks, strengths, and limitations - making it difficult for
subject matter experts to feel confident in deciding to use a model. As a
result, models may fail in unexpected ways if their weaknesses are not clearly
understood. Alternatively, models may go unused, as …

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