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Metric: precision πŸ“‰
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How to load this metric directly with the πŸ€—/datasets library:

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

Description

Precision is the fraction of the true examples among the predicted examples. It can be computed with: Precision = TP / (TP + FP) TP: True positive FP: False positive

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}
}