ROC curve

版本 2.0.0.0 (17.9 KB) 作者: Giuseppe Cardillo

compute a ROC curve

https://github.com/dnafinder/roc

关注

4.4

(34)

41.7K 次下载

更新时间 2021/9/1

在 GitHub 上查看许可证

ROC - Receiver Operating Characteristics.
The ROC graphs are a useful technique for organizing classifiers and visualizing their performance. ROC graphs are commonly used in medical decision making.
YOU CAN USE THIS FUNCTION ONLY AND ONLY IF YOU HAVE A BINARY CLASSIFICATOR.
The input is a Nx2 matrix: in the first column you will put your test values (i.e. glucose blood level); in the second column you will put only 1 or 0 (i.e. 1 if the subject is diabetic; 0 if he/she is healthy).
Run rocdemo to see an example

The function computes and plots the classical ROC curve and curves for Sensitivity, Specificity and Efficiency (see the screenshot).

The function will show 6 cut-off points:
1) Max sensitivity
2) Max specificity
3) Cost effective (Sensitivity=Specificity)
4) Max Efficiency
5) Max PLR
6) Max NLR

ROC requires the Curve fitting toolbox.

引用格式

Giuseppe Cardillo (2024). ROC curve (https://github.com/dnafinder/roc), GitHub. 检索来源 2024/4/19.

MATLAB 版本兼容性

创建方式 R2014b

兼容任何版本

平台兼容性

Windows macOS Linux

类别

在 Help Center 和 MATLAB Answers 中查找有关 Classification 的更多信息

标签添加标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

无法下载基于 GitHub 默认分支的版本

版本	已发布	发行说明
2.0.0.0	2021/9/1	inputparser; table implementation, github link change in Description
1.33.0.0	2014/10/6	minor code improvements	下载
1.32.0.0	2014/1/21	bug fixed in output table	下载
1.31.0.0	2013/6/14	some little editing for verbose flag management	下载
1.30.0.0	2012/9/25	The curves Fitting was enhanced. L5P is no more needed.	下载
1.29.0.0	2012/9/24	new plots and outputs	下载
1.27.0.0	2012/3/7	change in description. Cut-off points and AUC confidence interval are now always computed to avoid nargout error	下载
1.26.0.0	2011/11/16	running roc without arguments, it will run a demo	下载
1.25.0.0	2011/3/15	I added the possibility to choose if you want to use all unique values or 3<=N<all unique values as tresholds	下载
1.24.0.0	2010/11/12	Previously I uploaded an old version of roc.m This is the last version	下载
1.23.0.0	2010/11/12	Bug fixing in Cut off grabbing	下载
1.22.0.0	2010/7/12	Trapz correction	下载
1.20.0.0	2010/4/8	another little bug correction to include the points (0,0) and (1,1)	下载
1.19.0.0	2010/3/9	ROC requires another function of mine: partest. If it is not present on the computer, ROC will download it from FEX	下载
1.18.0.0	2010/3/3	The function is deeper commented	下载
1.17.0.0	2009/12/23	Changes in description	下载
1.16.0.0	2009/11/24	bug fixing in area computation after adding the points (0,0) and (1,1) as previously suggested	下载
1.15.0.0	2009/11/6	I modified the files according to Jens Kaftan suggestion	下载
1.14.0.0	2009/9/18	correction in ROC performance bounds	下载
1.13.0.0	2009/9/3	advancedmcode link added in description section	下载
1.12.0.0	2009/9/2	In my previous submission I forgot to add the demo...	下载
1.11.0.0	2009/9/2	improved compatibility with URocomp	下载
1.10.0.0	2009/7/30	According to cabrego comment, in the function output the table of cutoff points, sensibility and specificity.	下载
1.9.0.0	2009/7/29	New plot output	下载
1.8.0.0	2009/7/27	bug correction	下载
1.7.0.0	2009/2/18	Changes to make it compatible with uroccomp function	下载
1.6.0.0	2009/2/10	Mistake correction in z test computation	下载
1.5.0.0	2008/12/10	if mean(healthy)>mean(unhealthy) the function mirrors the curve to obtain the correct ROC curve.	下载
1.4.0.0	2008/12/3	Input error handling added	下载
1.3.0.0	2008/11/19	Test on significance of AUC added	下载
1.2.0.0	2008/11/12	Changes in help section	下载
1.0.0.0	2008/5/20		下载

要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。

ROC curve