Is it possible to run the classification learner app in a loop?

I want my classification learner app to run with some generted data , but I keep having to do this again and again. Is there a way to run it with the generated data input using all classifiers and specifying the amount of cross-validation and finally export the results of all the classifier everytime I run.

[Shairyar Malik]

No one answered yet? I have the same question?

Answer 1

[yanqi liu]

yes，sir，just as

https://ww2.mathworks.cn/matlabcentral/answers/1576568-loop-machine-learning-algorithm-functions?s_tid=srchtitle

method，we can see

clc; clear all; close all;
warning off all;
x = [1 1 1 1 2 2 2 2 3 3 3 3];
y = categorical(["dog" "dog" "dog" "dog" "cat" "cat" "cat" "cat" "bird" "bird" "bird" "bird"]);

funcs = {@fitcknn @fitcecoc @fitctree};
n_funcs_given = numel(funcs);

A = cell(1,n_funcs_given);
B = cell(1,n_funcs_given);
% loop for every model method
for i = 1:n_funcs_given
    % model fit
    A{i} = funcs{i}(x(:),y(:));
    % cross val
    crossval_i = crossval(A{i});
    B{i} = kfoldLoss(crossval_i);
end
A

A = 1×3 cell array
    {1×1 ClassificationKNN}    {1×1 ClassificationECOC}    {1×1 ClassificationTree}

B

B = 1×3 cell array
    {[0]}    {[0]}    {[0.3333]}

[Shairyar Malik]

Many thanks, yanqi liu