Vary k-nearest neighbor classification

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Mark S
Mark S on 29 May 2021
Answered: Image Analyst on 29 May 2021
Hello, I have written this little model for k-nearest neighbor classification:
knn_modell = fitcknn(cars, origin, 'NumNeighbors',k)
resubLoss (knn_modell)
calculated_knn1 = predict(knn_modell, cars)
truthmatrix = confusionmat(originarray, calculated_knn1)
So far so good. But now I wanna vary k between 1 and 20. How can I do that in matlab? And I want to make a graph of resubstitution loss as a function of k. Is this possible at all in Matlab?

Answers (1)

Image Analyst
Image Analyst on 29 May 2021
Yes. just put it in a for loop
for k = 1 : 20
% Code...
end

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