Metric: precision
Hosted in S3

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

How to load this metric directly with the datasets library:

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

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}
}