Empirical Comparison of Area under ROC curve (AUC) and Mathew Correlation Coefficient (MCC) for Evaluating Machine Learning Algorithms on Imbalanced Datasets for Binary Classification.
Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Conference Paper
%1 conf/icmlsc/HalimuKN19
%A Halimu, Chongomweru
%A Kasem, Asem
%A Newaz, S. H. Shah
%B ICMLSC
%D 2019
%I ACM
%K dblp
%P 1-6
%T Empirical Comparison of Area under ROC curve (AUC) and Mathew Correlation Coefficient (MCC) for Evaluating Machine Learning Algorithms on Imbalanced Datasets for Binary Classification.
%U http://dblp.uni-trier.de/db/conf/icmlsc/icmlsc2019.html#HalimuKN19
%@ 978-1-4503-6612-0
@inproceedings{conf/icmlsc/HalimuKN19,
added-at = {2020-12-10T00:00:00.000+0100},
author = {Halimu, Chongomweru and Kasem, Asem and Newaz, S. H. Shah},
biburl = {https://www.bibsonomy.org/bibtex/2163be59ba40a818b7cdbc233a309545b/dblp},
booktitle = {ICMLSC},
crossref = {conf/icmlsc/2019},
ee = {https://doi.org/10.1145/3310986.3311023},
interhash = {5443b1d4738880a7f05e320efd990941},
intrahash = {163be59ba40a818b7cdbc233a309545b},
isbn = {978-1-4503-6612-0},
keywords = {dblp},
pages = {1-6},
publisher = {ACM},
timestamp = {2024-04-09T14:24:35.000+0200},
title = {Empirical Comparison of Area under ROC curve (AUC) and Mathew Correlation Coefficient (MCC) for Evaluating Machine Learning Algorithms on Imbalanced Datasets for Binary Classification.},
url = {http://dblp.uni-trier.de/db/conf/icmlsc/icmlsc2019.html#HalimuKN19},
year = 2019
}
