Metric:
recall
Hosted in S3
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} }