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} }