--- a
+++ b/functions/computeClassificationPerformance.m
@@ -0,0 +1,25 @@
+function errorStruct = computeClassificationPerformance(numFeatures, sizeTest, ftest_all, TestLabels, stepPrint, numCoresKnn, fidLogs, param)
+
+%1-NN classifier (Nearest Neighbor)
+fprintf_pers(fidLogs, '\t\tClassification... \n');
+%display
+fprintf_pers(fidLogs, ['\t\tNumber of features: ' num2str(numFeatures) '\n']);
+fprintf_pers(fidLogs, ['\t\tNumber of samples: ' num2str(sizeTest) '\n']);
+%time
+tic
+[TestOutput, distMatrixTest] = computekNNClassificationPerformance(ftest_all, TestLabels, sizeTest, stepPrint, numCoresKnn, param);
+%Time for feature extraction
+timeClass = toc;
+fprintf_pers(fidLogs, ['\t\tTime for classification: ' num2str(timeClass) ' s\n']);
+%Confusion matrix
+C_knn = confusionmat(TestLabels, TestOutput);
+
+%pause
+
+%Error metrics
+errorStruct = computeErrorsFromCM(C_knn);
+errorStruct.distMatrixTest = distMatrixTest;
+errorStruct.rank5 = [];
+
+
+