精确性和召回率
绘图(图形)
计算机科学
召回
R包
数据挖掘
接收机工作特性
软件
人工智能
模式识别(心理学)
机器学习
统计
数学
计算科学
程序设计语言
哲学
语言学
作者
Takaya Saito,Marc Rehmsmeier
出处
期刊:Bioinformatics
[Oxford University Press]
日期:2016-09-01
卷期号:33 (1): 145-147
被引量:196
标识
DOI:10.1093/bioinformatics/btw570
摘要
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.Precrec is licensed under GPL-3 and freely available from CRAN (https://cran.r-project.org/package=precrec). It is implemented in R with C ++.takaya.saito@ii.uib.noSupplementary information: Supplementary data are available at Bioinformatics online.
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