fisher isis, train a knn classifier. Create trainning and test set.

Hello. I want to train a Knn classifier (k=1, k=3, k=5) for fisher iris data. I want randomly to take the 120 of 150 for training set and the rest for testing. But randomly each time. I wrote this code

load fisheriris
randSamples = meas(randperm(size(meas, 1)), :);
trainingSet = randSamples((1:120), :);
testSet = randSamples((121:150), :);

But for fisher iris, the vector with the species should be change in the same way? how can i do this? in the command

dl = fitcknn(meas,species,'NumNeighbors',5,'Standardize',1);

i need 2 vectors with same count of rows. Any further help about knn would be useful. thanks in advance

Answer 1

[Star Strider]

The Fisher iris example is actually in the documentation for fitcknn.

I can’t improve on the documentation example!