support vector machine number of features and samples
in [Matlab]
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From: George Bahlmann on 10 May 2010 18:52 Hello, I have a question concerning the number of features that can be included in the training of the support vector machine (svmtrain function). How many features can be included for one class? I have 25 images (16x16=256 features) that I classified (binary). The training procedure gave an accuracy of 71% correctly classified images. My question is, whether this result is reliable and valid enough. In other words, from the mathematical point of view, is there a restriction or trait-off between feature and sample size? Does it make sense to have more features than samples? Thank you very much. George
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