How to correct the error - ClassificationSVM
10 views (last 30 days)
Show older comments
vokoyo
on 16 Jun 2018
Commented: Walter Roberson
on 25 Apr 2023
My Matlab code -
clear
load fisheriris
% Only use the third and fourth features
x=meas(:,3:4);
gscatter(x(:,1),x(:,2),species);
% Only use the last two categories
x=meas(51:end,3:4);
group=species(51:end,1);
gscatter(x(:,1),x(:,2),group);
% Linear SVM
svmStruct = fitcsvm(x,group,'showplot',true);
% Kernel SVM
svmStruct = fitcsvm(xdata,group,'showplot',true,'kernel_function','rbf');
% Select different sigma
svmStruct = fitcsvm(xdata,group,'showplot',true,'kernel_function','rbf','rbf_sigma',0.5);
But here I get the error message such as below -
Error in fitcsvm (line 316)
obj = ClassificationSVM.fit(X,Y,RemainingArgs{:});
Error in Untitled (line 11)
svmStruct = fitcsvm(x,group,'showplot',true);
0 Comments
Accepted Answer
Walter Roberson
on 16 Jun 2018
Edited: Walter Roberson
on 16 Jun 2018
svmStruct = fitcsvm(x,group,'HyperparameterOptimizationOptions', struct('showplot',true))
svmStruct = fitcsvm(x,group,'HyperparameterOptimizationOptions', struct('showplot',true), 'KernelFunction','rbf','KernelScale',0.5)
1 Comment
Walter Roberson
on 17 Jun 2018
ntry = 10;
kftypes = {'gaussian', 'rbf', 'polynomial'};
nkf = length(kftypes);
svmStructs = cell(ntry,1);
for idx = 1 : ntry
kfidx = randi(nkf);
kftype = kftypes{kfidx};
if ismember(kfidx, [1, 2])
ks = exp(randn());
opts = {'KernelScale', ks};
else
q = randi(20);
opts = {'PolynomialOrder', q}
end
svmStructs{idx} = fitcsvm(x, group, 'HyperparameterOptimizationOptions', struct('showplot',true), 'KernelFunction', kftype, opts{:});
disp(kftype)
celldisp(opts);
pause(2);
end
More Answers (5)
vokoyo
on 17 Jun 2018
Edited: vokoyo
on 17 Jun 2018
1 Comment
Walter Roberson
on 17 Jun 2018
Try different settings for the KernelFunction https://www.mathworks.com/help/stats/fitcsvm.html#bt9w6j6_sep_shared-KernelFunction and for the KernelScale and see what the effects are.
vokoyo
on 18 Jun 2018
Edited: vokoyo
on 18 Jun 2018
6 Comments
Walter Roberson
on 18 Jun 2018
It sounds as if you are calling svm_3d_matlab_vis without passing in any parameters.
Don Mathis
on 18 Jun 2018
FITCSVM does not have an argument named 'showplot'. When I run your original code in R2018a I get this:
Error using classreg.learning.FitTemplate/fillIfNeeded (line 612)
showplot is not a valid parameter name.
Error in classreg.learning.FitTemplate.make (line 124)
temp = fillIfNeeded(temp,type);
Error in ClassificationSVM.template (line 235)
temp = classreg.learning.FitTemplate.make('SVM','type','classification',varargin{:});
Error in ClassificationSVM.fit (line 239)
temp = ClassificationSVM.template(varargin{:});
Error in fitcsvm (line 316)
obj = ClassificationSVM.fit(X,Y,RemainingArgs{:});
Error in Untitled3 (line 11)
svmStruct = fitcsvm(x,group,'showplot',true);
Don Mathis
on 25 Apr 2023
Edited: Don Mathis
on 25 Apr 2023
svmtrain() was replaced by fitcsvm(), and fitcsvm does not have a 'showplot' argument. Making a 2D plot of data points and support vectors in not built-in to fitcsvm, nor the object that it returns, ClassificationSVM.
If you have a 2D input space and you want to plot points and support vectors, you can see an example of how to do that here: https://www.mathworks.com/help/stats/classificationsvm.html#bt7go4d
0 Comments
See Also
Categories
Find more on Classification Trees in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!