The conversation between human and AI assistant.
What is the intuition behind the Cost and Gamma parameters in SVM?
That makes sense. Are there any guidelines or rules of thumb for choosing appropriate values for these parameters?
Yes, there are. Generally, for the Cost parameter, a value of 1 is a good starting point. You can then adjust it up or down, depending on the complexity of the problem and the amount of misclassification you're willing to accept. For Gamma, an appropriate value depends on the number of features you have in your dataset. A general rule of thumb is to set Gamma to 1/number of features in the dataset, although you can experiment and adjust it up or down from there.