How to solve this problem in matlab??

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".

[Walter Roberson]

What have you achieved so far? What is the first concept that you are stuck on?

[Walter Roberson]

https://www.mathworks.com/learn/tutorials/matlab-onramp.html

[Walter Roberson]

http://www.mathworks.com/matlabcentral/answers/6200-tutorial-how-to-ask-a-question-on-answers-and-get-a-fast-answer

Answer 1

[Image Analyst]

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.

[Aanqq]

Thank you so much