Metric: recall
Update on GitHub

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

How to load this metric directly with the datasets library:

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

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}
}