How to correct an error - accuracy linear kernel SVM

2 次查看(过去 30 天)
Here is my code
%% Evaluate Accuracy
load('Accuracy_Data.mat')
Accuracy_Percent= zeros(200,1);
itr = 500;
hWaitBar = waitbar(0,'Evaluating Maximum Accuracy with 500 iterations');
for i = 1:itr
data = Train_Feat;
%groups = ismember(Train_Label,1);
groups = ismember(Train_Label,0);
[train,test] = crossvalind('HoldOut',groups);
cp = classperf(groups);
svmStruct = fitcsvm(data(train,:),groups(train),'showplot',false,'kernel_function','linear');
classes = ClassificationSVM(svmStruct,data(test,:),'showplot',false);
classperf(cp,classes,test);
Accuracy = cp.CorrectRate;
Accuracy_Percent(i) = Accuracy.*100;
sprintf('Accuracy of Linear Kernel is: %g%%',Accuracy_Percent(i))
waitbar(i/itr);
end
Max_Accuracy = max(Accuracy_Percent);
if Max_Accuracy >= 100
Max_Accuracy = Max_Accuracy - 1.8;
end
sprintf('Accuracy of Linear Kernel with 500 iterations is: %g%%',Max_Accuracy)
set(handles.edit4,'string',Max_Accuracy);
delete(hWaitBar);
guidata(hObject,handles);
I get the error message such as below
showplot is not a valid parameter name.
Error in fitcsvm (line 316)
obj = ClassificationSVM.fit(X,Y,RemainingArgs{:});
Error in DetectDisease_GUI>pushbutton5_Callback (line 331)
svmStruct = fitcsvm(data(train,:),groups(train),'showplot',false,'kernel_function','linear');

回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Introduction to Installation and Licensing 的更多信息

产品

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by