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Metric: recall πŸ“‰
Update on GitHub

How to load this metric directly with the πŸ€—/datasets library:

				
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from datasets import load_metric metric = load_metric("recall")

Description

Recall is the fraction of the total amount of relevant examples that were actually retrieved. It can be computed with: Precision = TP / (TP + FN) TP: True positive FN: False negative

Citation

@article{scikit-learn,
  title={Scikit-learn: Machine Learning in {P}ython},
  author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.
         and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P.
         and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and
         Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.},
  journal={Journal of Machine Learning Research},
  volume={12},
  pages={2825--2830},
  year={2011}
}