Is it possible , to use NaiveBayes.fit prediction with crossvalind

Sir, with the given code i executed the program but it returns error.... i'm in need to calculate sensitivity and specificity also.. ... ??? Error using ==> subsindex Function 'subsindex' is not defined for values of class 'biolearning.classperformance'. .... so is it not possible for us to use crossvalind with NaiveBayes.fit?????? ...

 load target

 load data

 GroupTrain=target;

 TrainingSet=data;

 Indices = crossvalind('Kfold', GroupTrain,10);

 cp1 = classperf(GroupTrain)

 for i = 1:10

 test = (Indices == i); train = ~test;

    Bayes_Model = NaiveBayes.fit(TrainingSet(train,:), GroupTrain(train,:), 'Distribution','kernel');

   [Bayes_Predicted] = Bayes_Model.predict(data(test(cp1,1),:));

   [conf, classorder] = confusionmat(target(test(c,1)),Bayes_Predicted);
    classperf(cp1,Bayes_Model,test)

 end

.. waiting for valuable suggestion...

Answer 1

[Tom Lane]

The error comes from this:

test(cp1,1)

You're using cp1 to index into the logical vector test. I suspect you want something like

data(test,:)

Then you may move on to the line where "c" is undefined, but perhaps you can take it from there.

[Subha]

Thanks a lot sir, now it works.. really helpful now i have another question too.. which i posed in http://www.mathworks.in/matlabcentral/answers/66440-how-to-implement-cross-validation-with-back-propogation-network

if i get answer for that too.. it will be really useful for me.. thanks ...

[Narges J]

Hi,

I wrote the code like above and did modification but I received this error:

Error using classreg.learning.internal.DisallowVectorOps/subsref (line 16) You cannot index into an object of class NaiveBayes using () indexing.

Error in classperf (line 219) gps = varargin{1}(:);

Please can you help me how I can solve it.

Thank you.