convert knnclassify to fitcknn

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please help me to convert knnclassify to fitcknn
x=readtable("datatraining.xlsx");
latih=x;
group=latih(:,3);
latih = [latih(:,1) latih(:,2)];
for i = 1 : 80
y=readtable("datatesting.xlsx");
sampel = y;
test = [sampel(:,1) sampel(:,2)];
%sampel = [2.6136 0.1284 1.3017 -0.8089 0.0441 -0,2084];
hasil=knnclassify(test,latih,group);
end
nama = "hasil KNN.xlsx";
hasil = [sampel(:,1) sampel(:,2) sampel(:,3) hasil];
xlswrite(nama,hasil);
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Accepted Answer

Walter Roberson
Walter Roberson on 6 May 2021
x = readtable("https://www.mathworks.com/matlabcentral/answers/uploaded_files/600525/datatraining.xlsx");
y = readtable("https://www.mathworks.com/matlabcentral/answers/uploaded_files/600520/datatesting.xlsx");
traindata = x{:,2};
traingroup = x{:,3};
testdata = y{:,2};
testgroup = y{:,3};
Mdl = fitcknn(traindata, traingroup,'Distance','euclidean','NumNeighbors',8,'Standardize',1,'BreakTies','nearest');
hasil = predict(Mdl, testdata);
nama = "hasil KNN.xlsx";
y.hasil = hasil;
writetable(y, nama)
does_it_match = strcmp(hasil, testgroup);
correct_percent = mean(does_it_match) * 100
correct_percent = 73.7500
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