uROCcomp

compare two UNRELATED ROC curves

https://github.com/dnafinder/uroccomp

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Compare two unpaired ROC curves
The ROC graphs are a useful tecnique for organizing classifiers and visualizing their performance. ROC graphs are commonly used in medical decision making.
This function compares two unpaired ROC curves using my previously submitted routine ROC (http://www.mathworks.com/matlabcentral/fileexchange/19950).
If this file is absent, uroccomp will try to download it from FEX.
Syntax: uroccomp(x,y,alpha)

Input: x and y - These are the data matrix. The first column is the column of the data value; The second column is the column of the tag: unhealthy (1) and healthy (0). alpha - significance level (default 0.05)

Output: The ROC plots; The z-test to compare Areas under the curves

run uroccompdemo to see an example

Created by Giuseppe Cardillo
giuseppe.cardillo-edta@poste.it

To cite this file, this would be an appropriate format: Cardillo G. (2009) uROCcomp: compare two unpaired ROC curves. http://www.mathworks.com/matlabcentral/fileexchange/23020

인용 양식

Giuseppe Cardillo (2026). uROCcomp (https://github.com/dnafinder/uroccomp), GitHub. 검색 날짜: .

카테고리

Help CenterMATLAB Answers에서 ROC - AUC에 대해 자세히 알아보기

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2.0.0.0

inputparser, table implementation, github link

1.4.0.0

Changes in description

1.3.0.0

advancedmcode link added in description

1.2.0.0

correction of output mistake

1.1.0.0

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1.0.0.0

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이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.