function [errorStruct] = computeErrorsFromCM(C_knn)

%classification error

numberMisClassified = getNumberMisclassifiedSamples(C_knn);

errorStruct.err_knn_percent = numberMisClassified / sum(C_knn(:));

%TP

errorStruct.TP = C_knn(2,2);

%TN

errorStruct.TN = C_knn(1,1);

%FP

errorStruct.FP = C_knn(1,2);

%FN

errorStruct.FN = C_knn(2,1);

%sensitivity

errorStruct.sens = errorStruct.TP / (errorStruct.TP + errorStruct.FN);

%specificity

errorStruct.spec = errorStruct.TN / (errorStruct.TN + errorStruct.FP);

%TPR

errorStruct.TPR = errorStruct.TP / sum(C_knn(:));

%TNR

errorStruct.TNR = errorStruct.TN / sum(C_knn(:));

%FPR

errorStruct.FPR = errorStruct.FP / sum(C_knn(:));

%FNR

errorStruct.FNR = errorStruct.FN / sum(C_knn(:));

%accuracy

errorStruct.accuracy_knn = (sum(C_knn(:)) - numberMisClassified) / sum(C_knn(:));