?? coverage.m
字號:
function Coverage=coverage(Outputs,test_target)
%Computing the coverage
%Outputs: the predicted outputs of the classifier, the output of the ith instance for the jth class is stored in Outputs(j,i)
%test_target: the actual labels of the test instances, if the ith instance belong to the jth class, test_target(j,i)=1, otherwise test_target(j,i)=-1
[num_class,num_instance]=size(Outputs);
Label=cell(num_instance,1);
not_Label=cell(num_instance,1);
Label_size=zeros(1,num_instance);
for i=1:num_instance
temp=test_target(:,i);
Label_size(1,i)=sum(temp==ones(num_class,1));
for j=1:num_class
if(temp(j)==1)
Label{i,1}=[Label{i,1},j];
else
not_Label{i,1}=[not_Label{i,1},j];
end
end
end
cover=0;
for i=1:num_instance
temp=Outputs(:,i);
[tempvalue,index]=sort(temp);
temp_min=num_class+1;
for m=1:Label_size(i)
[tempvalue,loc]=ismember(Label{i,1}(m),index);
if(loc<temp_min)
temp_min=loc;
end
end
cover=cover+(num_class-temp_min+1);
end
Coverage=(cover/num_instance)-1;
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