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uROCcomp

version 2.0.0.0 by Giuseppe Cardillo
compare two UNRELATED ROC curves

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Updated 17 Apr 2018

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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

Cite As

Giuseppe Cardillo (2020). uROCcomp (https://github.com/dnafinder/uroccomp), GitHub. Retrieved .

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MATLAB Release Compatibility
Created with R2014b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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