ROCR：在R语言中可视化分类器性能
ROCR: visualizing classifier performance in R.
作者信息
Sing Tobias, Sander Oliver, Beerenwinkel Niko, Lengauer Thomas
机构信息
Department of Computational Biology and Applied Algorithmics, Max-Planck-Institute for Informatics, Saarbrücken, Germany.
出版信息
Bioinformatics. 2005 Oct 15;21(20):3940-1. doi: 10.1093/bioinformatics/bti623. Epub 2005 Aug 11.
UNLABELLED
ROCR is a package for evaluating and visualizing the performance of scoring classifiers in the statistical language R. It features over 25 performance measures that can be freely combined to create two-dimensional performance curves. Standard methods for investigating trade-offs between specific performance measures are available within a uniform framework, including receiver operating characteristic (ROC) graphs, precision/recall plots, lift charts and cost curves. ROCR integrates tightly with R's powerful graphics capabilities, thus allowing for highly adjustable plots. Being equipped with only three commands and reasonable default values for optional parameters, ROCR combines flexibility with ease of usage.
AVAILABILITY
http://rocr.bioinf.mpi-sb.mpg.de. ROCR can be used under the terms of the GNU General Public License. Running within R, it is platform-independent.
CONTACT
未标注
ROCR是一个用于在统计语言R中评估和可视化评分分类器性能的软件包。它具有超过25种性能度量，可自由组合以创建二维性能曲线。在统一框架内提供了用于研究特定性能度量之间权衡的标准方法，包括接收器操作特性（ROC）图、精确率/召回率图、提升图和成本曲线。ROCR与R强大的图形功能紧密集成，从而实现高度可调整的绘图。ROCR仅配备三个命令和合理的可选参数默认值，兼具灵活性和易用性。
可用性
http://rocr.bioinf.mpi-sb.mpg.de 。ROCR可在GNU通用公共许可证的条款下使用。它在R环境中运行，与平台无关。
Zotero 插件