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SVM gamma parameter influence : 2moons data set

I'm working on the two-moons data set, in which we can achieve a perfect discrimination, the classes are separable. I'm using the RBF kernel, and as a consequence, i have to tune the gamma parameter. ...
1
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154 views

Data simulations for SVM : study of parameters

I'm studying SVM for classification. The first step of my work consists in making a data simulation in order to study the influence of the cost parameter C, the choice of the kernel, for examples. Do ...
7
votes
1answer
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What does the cost (C) parameter mean in SVM?

I am trying to fit a SVM to my data. My dataset contains 3 classes and I am performing 10 fold cross validation (in LibSVM): ...
1
vote
1answer
713 views

parameter tuning using nested cross validation

Parameter tuning in SVM has been performed using a nested cross-validation(CV) approach with 45 folds(outer loop) and 13 folds(inner loop). In this process, the outer loop will have 45 prediction ...