hard20 pts · first answer countsclassification-metricsbayes-theorem
Precision when prevalence drops
At a fixed threshold a model has 80% recall and 95% specificity. Where 10% of cases are positive, its precision is 64%. You deploy it in a market where only 1% of cases are positive. What precision should you expect?
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