Multi Class Confusion Matrix
Calclating kappa, acuuracy,error,Sensitivity ,Specificity , Precision,False positive rate etc.
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This code is designed for two or more classes instance confusion matrix formation and Calclating
1acuuracy
2.error
3.Sensitivity (Recall or True positive rate)
4.Specificity
5.Precision
6.FPR-False positive rate
7.F_score
8.MCC-Matthews correlation coefficient
9.kappa-Cohen's kappa
Run demo.m for proof and demo
Developer Er.Abbas Manthiri S
Date 25-12-2016
Mail Id: abbasmanthiribe@gmail.com
Coding is based on attached reference
Cite As
Abbas Manthiri S (2026). Multi Class Confusion Matrix (https://www.mathworks.com/matlabcentral/fileexchange/60900-multi-class-confusion-matrix), MATLAB Central File Exchange. Retrieved .
General Information
- Version 2.1.0.0 (7.76 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 2.1.0.0 | small typo changed
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| 2.0.0.0 | Bugs removed
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| 1.601.0.0 | nothing changed |
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| 1.52.0.0 | Name changed |
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| 1.51.0.0 | publish view improved
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| 1.31.0.0 | Clear Publish view |
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| 1.6.0.0 | code improved |
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| 1.5.0.0 | Coding converted to class method |
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| 1.3.0.0 | html view |
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| 1.2.0.0 | bugs removed |
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| 1.1.0.0 | extra datum given to output |
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| 1.0.0.0 | bugs removed |
