How does improper handling of missing data impact the precision-recall trade-off in a model?
- Degrades both precision and recall.
- Degrades precision but improves recall.
- Improves both precision and recall.
- Improves precision but degrades recall.
Incorrectly handling missing data can lead to incorrect learning and misclassification, degrading both the precision (incorrectly identified positives) and recall (missed true positives) of the model.
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Related Quiz
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- Incorrect handling of missing data can lead to a(n) ________ in model performance.
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