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Using results of multiclass classification the function builds a confusion matrix and tables of confusion and calculates derivations from a confusion matrix for each class and for all population. Derivations are metrics of classifier's performance. Each derivation serves different purposes. Consideration of derivations allows a comprehensive study of classifier's performance.
Cite As
Eduard Polityko (2026). Confusion Matrix and its Derivations (https://www.mathworks.com/matlabcentral/fileexchange/61817-confusion-matrix-and-its-derivations), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (10.3 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
