When evaluating the performance of a classification model, several metrics can be used, but three of the most common ones are precision, recall, and the F1 score.
- Precision: Precision measures the accuracy of the positive predictions made...
When evaluating the performance of a classification model, several metrics can be used, but three of the most common ones are precision, recall, and the F1 score.
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