cross validation in matlab
Posted: Thu Dec 03, 2009 8:54 am
Hello Friends
I want to know how can I use the crossvalind file included
in the Bioinformatics toolbox.
I have my dataset that was classified with a different
algorithm, I just to validate my results with 10-fold cross
validation and/or leave-one-out.
I have 5 classes and my algorithm returns the degree of
membership for each instance. Therefore, the input data to
the 10-fold cross validation are N instances and 5 classes
(not features but degrees of membership since data have been
already classified).
The crossvalind.m file calls classify.m (stats toolbox). I
can modify the classify code to get the confusion matrix,
but when I enter the data, I get this error message: The
pooled covariance matrix of TRAINING must be positive definite.
What should I do?
I want to know how can I use the crossvalind file included
in the Bioinformatics toolbox.
I have my dataset that was classified with a different
algorithm, I just to validate my results with 10-fold cross
validation and/or leave-one-out.
I have 5 classes and my algorithm returns the degree of
membership for each instance. Therefore, the input data to
the 10-fold cross validation are N instances and 5 classes
(not features but degrees of membership since data have been
already classified).
The crossvalind.m file calls classify.m (stats toolbox). I
can modify the classify code to get the confusion matrix,
but when I enter the data, I get this error message: The
pooled covariance matrix of TRAINING must be positive definite.
What should I do?