I use "LIBSVM" library for classification.
If my first class is the same as the second class, for accuracy I will get 50% or 0%.
What does it mean to get 30% or 20% of precision?
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$\begingroup$ I still fail to understand the experiment you are doing. What do you mean by "the first class is the same as the second class"? If they are same, they should be in one class? From your comment to Harald's answer, ("I ask two subjects to the same movement"), I guess that you have 2 samples from one class. You should at least ask those 2 subjects to make a different movement, then you will have 4 samples from 2 classes. And I don't know what type of features you are using but a dataset of 2 samples is definitely very small. $\endgroup$ – jeff Feb 17 '16 at 15:18
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$\begingroup$ it is our experience, we want to see the resulat between 2 subjects make the same mouvement $\endgroup$ – ensberg Feb 17 '16 at 15:24
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$\begingroup$ So you are trying to identify people based on their movement patterns? If so, i guess you are right, your classes are the people. In this case, reporting the classification accuracy can make more sense though. Are you sure you need to measure the precision, but not the classification accuracy? $\endgroup$ – jeff Feb 17 '16 at 16:28
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$\begingroup$ please can you see me what is the difference between, precision and classification accuracy $\endgroup$ – ensberg Feb 18 '16 at 1:46
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$\begingroup$ if the problem was image retrieval with classes car, human and boat, and the test image was infact a car image, then your precision would be (the number of car images you returned)/(number of car images in your database). there is also another measure called recall, both are explained here. $\endgroup$ – jeff Feb 18 '16 at 2:37
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A SVM is a binary classifier. That means, you can distinguish only 2 classes.
If both classes are the same, classification doesn't make sense.
If you have more then 2 classes you need to use different classification methods, such as k-means or neural networks. However, multi-class classification with SVM can still be done by reducing the multi-class decision problem to multiple binary classifications.
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$\begingroup$ my experience is, I take two set of data generated by two subject that do the same thing, I get almost the Same data, $\endgroup$ – ensberg Feb 17 '16 at 12:31
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$\begingroup$ Can you explain your question a little more detailed? $\endgroup$ – Harald Thomson Feb 17 '16 at 12:45
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$\begingroup$ I classify the movements, I ask two subjects to the same movement. I get almost the same data, what does it mean to get 50% of accuracy $\endgroup$ – ensberg Feb 17 '16 at 13:00
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$\begingroup$ Sorry, I can't help you if you explain yourself this scarce. $\endgroup$ – Harald Thomson Feb 17 '16 at 13:02
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$\begingroup$ I want just to understand the meaning of obtaining 50% of preccision with SVM $\endgroup$ – ensberg Feb 17 '16 at 13:04
