Open hsieh42 opened 5 years ago
/cbica/home/hsiehm/Software/LIBRA-SVN/branches/LIBRA-1.0/Source/Code/libra_train.m
and /cbica/home/hsiehm/Software/LIBRA-SVN/branches/LIBRA-1.0/Source/Code/libra_run.m
have been modified to work with fitcsvm
and predict
. Now testing the crossval function:
Mdl=fitcsvm(fullset(:,SVMmodel_vars+1),fullset(:,end), 'CrossVal','on');
genError = kfoldLoss(Mdl)
But CPU time limit exceeded (core dumped) on an interactive node.
Once everything tested, need to rerun the training for 5 models (GE/Hologic, Raw/Processed, and LIBRA_SVM).
See
The accuracy after changing the functions svmtrain
and svmclassify
to fitsvm
and predict
has been drastically deteriorated.
Original R2014B (Case1.dcm, PD=74.80%, in /cbica/home/hsiehm/Software/LIBRA-SVN/branches/LIBRA-1.0_skane_one_model/Source/Demo_Test
):
R2018A (PD=2.37%, in /cbica/home/hsiehm/Software/LIBRA-SVN/branches/LIBRA-1.0/Source/Demo_Test
):
We need to follow up with the CBICA admins: https://cbica-infr-velog.uphs.upenn.edu/elog/PC/1697
svnclassify and svntrain no longer there in R2018. Seehttps://www.mathworks.com/help/stats/svmclassify.html
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