Can anyone tell me how to solve this error?

clc;
clear ;
close all;
%%
load FA 
F1 = Feature;
load NF 
F2 = Feature;
xdata = [F1;F2];
group = cell(1,1);

for ii = 1:size(F1,1)
    group{ii,1} = 'Fatigue';
end

for ii = 1:size(F2,1)
    group{ii+size(F1,1),1} = 'Non-Fatigue';
end

svmStruct = fitcsvm(xdata,group,'OptimizeHyperparameters','auto','HyperparameterOptimizationOptions',struct('showplot',true));
% Testing
save svm svmStruct
load svm
for ii = 1:size(F1,1)
    species = ClassificationSVM(svmStruct,F1(ii,:));
    disp([ group{ii,1} ' = ' species]);
end

for ii = 1:size(F2,1)
    species = ClassificationSVM(svmStruct,F2(ii,:));
    disp([ group{ii+size(F1,1),1} ' = ' species]);
end

%%%%%%%%%%%%%%%

It runs for some time and gives error on classificationSVM.

Here Xdata is a 8x4 double. error says X should be a double or a single matrix. How to solve it and the other errors?

[Walter Roberson]

You do not show the code near line 200 where you are calling ClassificationSVM.fit() passing in Feature. We need to more about the datatype of Feature at that line.

[anand rathod]

the error says that classificationsvm can take only single or double as data types.
here feature has 'double' data type but svmstruct shows 'classificationsvm' as data type.

error:

Code at line 200:

[Walter Roberson]

Why are you directly invoking the private ClassificationSVM.fit() instead of calling fitcsvm()? And you appear to be expecting the results to be species indicators but that is not what fit is for, and you would use predict() to use a trained classifier plus input data to estimate species.

[Image Analyst]

If you need more help, attach FA.mat and NF.mat.

[anand rathod]

Image Analyst Here,

Answer 1

[Jingwei Too]

Why don't you try on this toolbox https://www.mathworks.com/matlabcentral/fileexchange/71461-simple-machine-learning-algorithms-for-classification?s_tid=prof_contriblnk