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Published in:
2018 | OriginalPaper | Chapter
14. Model Performance Assessment
Author : Ivo D. Dinov
Published in: Data Science and Predictive Analytics
Publisher: Springer International Publishing
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Abstract
In previous chapters, we used prediction accuracy to evaluate classification models. However, having accurate predictions in one dataset does not necessarily imply that the model is perfect or that it will reproduce when tested on external data. We need additional metrics to evaluate the model performance and to make sure it is robust, reproducible, reliable, and unbiased.