I am trying to make a kind of image classification by using the Support Vector Machine. There are the kernel, gamma, and C functions. My question is how I can decide the correct kernel, gamma, and C parameters for this kind of classification.
It depends on your dataset. First thing you need to do feature engineering in your dataset. After that, you can decide which model you should use.
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