How to solve this problem in matlab??
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1. Download the data file. The last value in each row contains the target label for that row, and the remaining values are the features. Split the data into 10 approximately equally-sized "folds".
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Image Analyst
am 12 Dez. 2020
Hints:
For 2:
X = rescale(X, 0, 1);
For 4
K = 1:2:15
for index = 1 : length(K)
thisk = K(index);
% Call knnsearch()
% Compute accuracy
for index2 = 1 : length(X)
accuracy(index) = ......whatever
end
end
plot(K, accuracy, 'b.', 'LineWidth', 2, 'MarkerSize', 20)
You can finish it if you look up knnsearch() and figure out what it does.
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