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Browse filesRecall is the fraction of the positive examples that were correctly labeled by the model as positive. It can be computed with the equation:
Recall = TP / (TP + FN)
Where TP is the true positives and FN is the false negatives.
README.md
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title: Recall
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emoji: 🤗
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sdk: gradio
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app_file: app.py
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pinned: false
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tags:
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- evaluate
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- metric
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# Metric Card for Recall
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---
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title: Recall
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emoji: 🤗
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colorFrom: blue
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colorTo: red
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sdk: gradio
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app_file: app.py
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pinned: false
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tags:
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- evaluate
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- metric
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description: >-
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Recall is the fraction of the positive examples that were correctly labeled by
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the model as positive. It can be computed with the equation:
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Recall = TP / (TP + FN)
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Where TP is the true positives and FN is the false negatives.
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---
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# Metric Card for Recall
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