An HR team uses a predictive analytics model to flag employees at risk of leaving. The model has high precision but low recall. This means:
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A
It correctly identifies most at-risk employees but has many false alarms
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B
When it flags someone as at-risk, it is usually correct, but it misses many at-risk employees
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C
It performs well on training data but poorly on new data
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D
The model's predictions are statistically significant but not practically useful