Explain a model metric without overselling it
Communicate validation metrics as evidence, not guarantees.
Maya M business partner 1 Correct headline 2 Decision cost The classifier’s ROC AUC is 0.88. Maya wants to tell sales, “The model is 88% accurate.” That sentence will travel faster than the caveats. The technical move only works if the human request is clarified. 1 ask can become three different analyses tidymodels modeling framework tidymodels encourages explicit metrics and resampling, but metrics still need translation. AUC, accuracy, sensitivity, specificity, and calibration answer different questions. The mechanism is decision alignment: the metric must connect to the operational cost of false positives and false negatives. In R, the confusion matrix and…
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