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In this example, it is assumed that SCOPE returned fusion at level 1, then on the new risk factor fusion at level 2. Using the test variables as the input arguments:
riskfactor = [1 2 3 4 5 1 2 3 4 5 1 2 3 4 5]
risklabel={'ajcc 1','ajcc 2','ajcc 3','ajcc 4','ajcc 5'}
binaryfusionsteps = [1 2]
The result is as expected: binaryfusionrisklabels = 'ajcc1' 'ajcc 3' 'ajcc 5'
Cite As
Rex Cheung (2026). SCOPE: this utility gets the final risk levels and risk labels from ROC optimization (https://www.mathworks.com/matlabcentral/fileexchange/37345-scope-this-utility-gets-the-final-risk-levels-and-risk-labels-from-roc-optimization), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (1.49 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
