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Error -Index exceeds matrix dimensions.

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nkumar
nkumar 2013-1-10
I get error ,please tell how to rectify it,i have used 100x4 for training and rest for testing, even though i get error
clc
clear all
load fisheriris
groups = ismember(species,'setosa');
k=10;
groups =groups(1:100,:);
mt=meas(1:100,:);
mte=meas(101:end,:);
cvFolds = crossvalind('Kfold', groups, k);
cp = classperf(groups);
for i = 1:k
testIdx = (cvFolds == i);
trainIdx = ~testIdx;
svmModel = svmtrain(mt(trainIdx,:), groups(trainIdx), ...
'Autoscale',true, 'Showplot',false, 'Method','QP', ...
'BoxConstraint',2e-1, 'Kernel_Function','rbf', 'RBF_Sigma',1);
pred = svmclassify(svmModel, mte(testIdx,:), 'Showplot',false);
cp = classperf(cp, pred, testIdx);
end
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nkumar
nkumar 2013-1-10
Index exceeds matrix dimensions.
Error in ==> Untitl at 22 pred = svmclassify(svmModel, mte(testIdx,:), 'Showplot',false);

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回答（1 个）

Walter Roberson
Walter Roberson 2013-1-10
Your cvFolds is constructed from groups, which is rows 1:100, but you use an index derived from that (testIdx) to index mte which is rows 101:end and so might be smaller.
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Jan
Jan 2013-1-12
How could we know, what you exactly want to achieve?
nkumar
nkumar 2013-1-12
i want to train the data with 100 data ant test the remaining

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