Which key metric of model evaluation is most affected by mishandling missing data?
- Accuracy
- F1 Score
- Precision
- Recall
All metrics could be affected, but the accuracy of the model is often the most affected by mishandling of missing data. Incorrect imputation of missing values can lead to the model learning incorrect patterns, resulting in inaccurate predictions.
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