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Instructions: Each question may have any number of correct choices. Clearly mark...
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Instructions: Each question may have any number of correct choices. Clearly mark (tick) all choices you believe to be correct (1 mark for each correct choice, −0.5 for each incorrect choice).
You are training an RBF SVM with the following parameters: C (slack penalty) and γ = 1/2σ 2 (where σ 2 is the variance of the RBF kernel). How should you tweak the parameters to reduce overfitting?
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