Precrec: fast and accurate precision–recall and ROC curve calculations in R
Author(s) -
Takaya Saito,
Marc Rehmsmeier
Publication year - 2016
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btw570
Subject(s) - precision and recall , plot (graphics) , computer science , recall , r package , data mining , receiver operating characteristic , software , artificial intelligence , pattern recognition (psychology) , machine learning , statistics , mathematics , computational science , programming language , linguistics , philosophy
The precision-recall plot is more informative than the ROC plot when evaluating classifiers on imbalanced datasets, but fast and accurate curve calculation tools for precision-recall plots are currently not available. We have developed Precrec, an R library that aims to overcome this limitation of the plot. Our tool provides fast and accurate precision-recall calculations together with multiple functionalities that work efficiently under different conditions.
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