“All models are wrong but some are useful" [1]. We address the problem of identifying which diagnosis models are more useful than others. Models are critical to diagnostics inference, yet little work exists to be able to compare models. We define the role of models in diagnostics inference, propose metrics for models, and apply these metrics to a tank benchmark system. Given the many approaches...
