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The function will return you the result (Accuracy,Recall,Precision,F1,F2,F0.5) based on your input (Actual and Prediction).
For example,
load fisheriris
X = meas;
Y = species;
Mdl = fitcknn(X,Y,'NumNeighbors',5,'Standardize',1);
predictedY = resubPredict(Mdl);
[table_ind_result,table_ove_result] = summary_confusion(Y,predictedY);
Cite As
Kevin Chng (2026). summary_confusion (https://www.mathworks.com/matlabcentral/fileexchange/70978-summary_confusion), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.1 (2.03 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
