An efficient and user-friendly software tool for ordered multi-class receiver operating characteristic analysis based on python

Author:

Liu Shun,Yang JunjieORCID,Zeng Xianxian,Song Haiying,Cen Jian,Xu Weichao

Publisher

Elsevier BV

Subject

Computer Science Applications,Software

Reference22 articles.

1. Estimating the area under a receiver operating characteristic (ROC) curve: Parametric and nonparametric ways;Xu;Signal Process,2013

2. Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach;DeLong;Biometrics,1988

3. A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms;Carrington;BMC Med Inf Decis Mak,2020

4. ROCS: receiver operating characteristic surface for class-skewed high-throughput data;Yu;PLoS One,2012

5. On the scalability of ordered multi-class ROC analysis;Waegeman;Comput Statist Data Anal,2008

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