Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts
Presenting a predictive 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...
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Détails bibliographiques
| Publié dans: | IEEE transactions on visualization and computer graphics. - 1996. - 30(2024), 7 vom: 17. Juli, Seite 4137-4153
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| Auteur principal: |
Suh, Ashley
(Auteur) |
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| Autres auteurs: |
Appleby, Gabriel,
Anderson, Erik W,
Finelli, Luca,
Chang, Remco,
Cashman, Dylan |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2024
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| Accès à la collection: | IEEE transactions on visualization and computer graphics
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| Sujets: | Journal Article
Research Support, Non-U.S. Gov't |
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