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Well, there is an answer here <http://www.mathworks.com/matlabcentral/answers/64475-does-anybody-have-expertise-with-matlab-svm...

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Answered 2 years ago

Check the |ConvergenceInfo.Converged| property of the returned object to see if optimization converged. This behavior of |fit...

2

Answered 23 days ago

1. You can report anything you like as long as you report an estimate obtained by cross-validation or using an independent test ...

See my comments at the bottom of this thread <http://www.mathworks.com/matlabcentral/answers/62757-how-do-i-find-slack-variables...

I described approaches for learning on imbalanced data here <http://www.mathworks.com/matlabcentral/answers/11549-leraning-class...

Answered 3 years ago

Look at the doc/help for |fitcsvm| or, alternatively look at the |ConvergenceInfo| property in the returned object. There are se...

1

Answered 20 days ago

Binary SVM models trained by ECOC are saved in the BinaryLearners property, which is a cell array. You can't change the Sigma pr...

Answered 29 days ago

|multisvm| appears to be built on top of the older, slower |svmtrain| function, while |fitcecoc| uses the newer, faster C++ impl...

Replace temp = zeros(length(mu),1); for i = 1:length(mu) temp(i) = normrnd(mu(i),sigma(i)); end with ...

Answered 9 months ago

For 3 neighbors, the posterior probability has at most 4 distinct values, namely (0:3)/3. Likely less for the Fisher iris data b...

The MATLAB implementation is based on this book: Breiman, L., J. Friedman, R. Olshen, and C. Stone. Classification and Regres...

I am not an expert in image analysis, but it seems you misunderstand what you need to do. LDA uses matrix X in which rows are ob...

I described strategies for learning on imbalanced data in this post http://www.mathworks.com/matlabcentral/answers/11549-leranin...

You might want to start here http://en.wikipedia.org/wiki/One-class_classification The 1st reference (PhD thesis) gives an overv...

You are missing my point about the majority class. Let me try again. Suppose you generate 200 observations and assign labels ...

Combining two objects would be hard. You can work around this by growing one big ensemble and treating parts of it as separate e...

The answer depends on how you define a "fair" classifier. If the ultimate goal of your analysis is to minimize the overall class...

Answered 4 years ago

_So, my question is: does Matlab update the the priors and reset the cost function to the default as an equivalent operation to ...

Answered 1 day ago

In 14a and 14b, the Beta coefficients of an SVM model need to be divided by KernelParameters.Scale to get correct predictions. I...

0

Answered 9 days ago

|fitcsvm| passes class prior probabilities found *from the entire data* into each fold. Look at |CVSVMModel.Trained{1}.Prior|, |...

Answered 10 days ago

The error message says "You must pass scores as a vector..." You are passing it as a matrix with two columns. How would |perfcur...

Answered 1 month ago

This should work: function depth = treedepth(tree) parent = tree.Parent; depth = 0; node = parent(end); ...

Answered 3 months ago

The error says that 1 is not found in t2. Note that your |groups| variable is logical, and so are |t1| and |t2|, but 1 is double...

Answered 8 months ago

ClassificationTree is based on Breiman, L., J. Friedman, R. Olshen, and C. Stone, Classification and Regression Trees, and uses ...

Use a loop: for n=1:30 view(t.Trees{n}); end

Answered 10 months ago

Nothing wrong with that. A classification tree optimizes the Gini index and can split a parent node in two child nodes dominated...

I can't explain in detail how the routine should be written because I don't understand how you are comparing the two populations...

Answered 11 months ago

The type of tree you need is defined by the type of output. If your output is numeric ("numeric" here means that you can do grea...

Answered 1 year ago

Plot the classification error (or whatever it is you are optimizing) against the two optimized parameters. Is the minimum well i...

You could start with linear regression. If you have the Statistics Toolbox, take a look at |LinearModel|. Or, if you have an old...

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