Multi Class Confusion Matrix

Calclating kappa, acuuracy,error,Sensitivity ,Specificity , Precision,False positive rate etc.
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Mise à jour 21 juil. 2017

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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

Citation pour cette source

Abbas Manthiri S (2024). Multi Class Confusion Matrix (https://www.mathworks.com/matlabcentral/fileexchange/60900-multi-class-confusion-matrix), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2014a
Compatible avec toutes les versions
Plateformes compatibles
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confusion matrix/

confusion matrix/html/

Version Publié le Notes de version
2.1.0.0

small typo changed
error now give correct value

2.0.0.0

Bugs removed
Added sub Accuracy for each by in total and alone

1.601.0.0

nothing changed

1.52.0.0

Name changed

1.51.0.0

publish view improved
to view click on demo

1.31.0.0

Clear Publish view

1.6.0.0

code improved

1.5.0.0

Coding converted to class method

1.3.0.0

html view

1.2.0.0

bugs removed

1.1.0.0

extra datum given to output

1.0.0.0

bugs removed