ROC curve

版本 2.0.0.0 (17.8 KB) 作者: Giuseppe Cardillo
compute a ROC curve
4.4
(34)
41.8K 次下载
更新时间 2024/10/7
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. 检索时间: .

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创建方式 R2014b
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版本 已发布 发行说明
2.0.0.0

inputparser; table implementation, github link
change in Description
1.33.0.0

minor code improvements
1.32.0.0

bug fixed in output table
1.31.0.0

some little editing for verbose flag management
1.30.0.0

The curves Fitting was enhanced.
L5P is no more needed.
1.29.0.0

new plots and outputs
1.27.0.0

change in description.
Cut-off points and AUC confidence interval are now always computed to avoid nargout error
1.26.0.0

running roc without arguments, it will run a demo
1.25.0.0

I added the possibility to choose if you want to use all unique values or 3<=N<all unique values as tresholds
1.24.0.0

Previously I uploaded an old version of roc.m This is the last version
1.23.0.0

Bug fixing in Cut off grabbing
1.22.0.0

Trapz correction
1.20.0.0

another little bug correction to include the points (0,0) and (1,1)
1.19.0.0

ROC requires another function of mine: partest. If it is not present on the computer, ROC will download it from FEX
1.18.0.0

The function is deeper commented
1.17.0.0

Changes in description
1.16.0.0

bug fixing in area computation after adding the points (0,0) and (1,1) as previously suggested
1.15.0.0

I modified the files according to Jens Kaftan suggestion
1.14.0.0

correction in ROC performance bounds
1.13.0.0

advancedmcode link added in description section
1.12.0.0

In my previous submission I forgot to add the demo...
1.11.0.0

improved compatibility with URocomp
1.10.0.0

According to cabrego comment, in the function output the table of cutoff points, sensibility and specificity.
1.9.0.0

New plot output
1.8.0.0

bug correction
1.7.0.0

Changes to make it compatible with uroccomp function
1.6.0.0

Mistake correction in z test computation
1.5.0.0

if mean(healthy)>mean(unhealthy) the function mirrors the curve to obtain the correct ROC curve.
1.4.0.0

Input error handling added
1.3.0.0

Test on significance of AUC added
1.2.0.0

Changes in help section
1.0.0.0

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。
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。