confusionmatStats(group,grouphat)
function stats = confusionmatStats(group,grouphat)
% INPUT
% group = true class labels
% grouphat = predicted class labels
%
% OR INPUT
% stats = confusionmatStats(group);
% group = confusion matrix from matlab function (confusionmat)
%
% OUTPUT
% stats is a structure array
% stats.confusionMat
% Predicted Classes
% p' n'
% ___|_____|_____|
% Actual p | | |
% Classes n | | |
%
% stats.accuracy = (TP + TN)/(TP + FP + FN + TN) ; the average accuracy is returned
% stats.precision = TP / (TP + FP) % for each class label
% stats.sensitivity = TP / (TP + FN) % for each class label
% stats.specificity = TN / (FP + TN) % for each class label
% stats.recall = sensitivity % for each class label
% stats.F-score = 2*TP /(2*TP + FP + FN) % for each class label
%
% TP: true positive, TN: true negative,
% FP: false positive, FN: false negative
%
Citar como
Audrey Cheong (2024). confusionmatStats(group,grouphat) (https://www.mathworks.com/matlabcentral/fileexchange/46035-confusionmatstats-group-grouphat), MATLAB Central File Exchange. Recuperado .
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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Classification > Classification Trees >
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