I'm trying to do mrmr feature selection and SVM classifier.I get discreet nci data set from penglab web site.
nci=importdata('test_nci9_s3.csv');
ncid=nci.data(:,1);
ncif=nci.data(:,2:9713);
[feanciq] = mrmr_miq_d(ncif, ncid, 60);
[feancid] = mrmr_mid_d(ncif, ncid, 60);
for i=1:10,
for j=1:60,
testnciq(i,j)=ncif(i,feanciq(j));
end;
end;
for i=11:60,
for j=1:60,
trainnciq(i-10,j)=ncif(i,feanciq(j));
end;
end;
for i=1:10,
for j=1:3,
testncid(i,j)=ncif(i,feancid(j));
end;
end;
for i=11:60,
for j=1:3,
trainncid(i-10,j)=ncif(i,feancid(j));
end;
end;
SVMStructq=fitcecoc(trainnciq,ncid(11:60));
SVMStructd=fitcecoc(trainncid,ncid(11:60));
td=predict(SVMStructd,trainncid(2,:));
tq=predict(SVMStructq,trainnciq(2,:));
disp(tq);
disp(td);
What is mean of m(m=3,6,9....48,54,60) table at page 194 in upper paper? How get i these MID and MIQ variables like table?