Community Profile

Contact

Top 1% contributor

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

accepted

4

Answered 3 years ago

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

3

Answered 4 years ago

The reference is T. Dietterich. Approximate statistical tests for comparing supervised classification learning algorithms....

2

Answered 1 month ago

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

Answered 1 year 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...

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

Answered 5 years ago

modelTemplate.ModelParams.BoxConstraint = 100; This is undocumented and can change in a future release.

1

Answered 4 months ago

Use fitctree(X,Y,'minparent',size(X,1),'prune','off','mergeleaves','off')

Answered 8 months ago

If you are still looking for an answer, there is only one definition for error. In each case, you form a confusion matrix and th...

Answered 10 months ago

This is a difficult problem for SVM. SVM performs best when two classes are separable or have a modest overlap. This is not the ...

Answered 11 months ago

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

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

|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 2 years 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...

Edge can be used to assess the predictive performance of a classifier. Since you don't know how to use it, I suggest that you us...

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...

My guess is that gradients for two or more observations become equal within floating-point accuracy during optimization. The sol...

Answered 10 days ago

This is a consequence of the data being poorly scaled. Do std(m3) and observe that the standard deviations of the two predictors...

0

Answered 5 months ago

The purpose is to simplify the tree without losing too much accuracy. One standard error is a heuristic rule. If one number is w...

Answered 7 months ago

There could be many reasons. The |lasso| function has a lot of flexibility, so make sure you are comparing apples and apples. To...

The prediction of a regression tree is the mean of observed responses over observations landing on this node. If you passed in o...

Answered 12 months ago

This likely means that some variables in the new data have values well outside their ranges in the training data. Think about wh...

You need to read the whole section and the one that follows, Computing the support vector classifier. If you, you will notice th...

Load more

Choose your country to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .

You can also select a location from the following list:

See all countries