The conversation between human and AI assistant.
What is the intuition behind the Cost and Gamma parameters in SVM?
Interesting. Can you tell me more about the impact of the Gamma parameter on the decision boundary?
Sure. A small Gamma value means that the decision boundary is based on a larger distance from the support vectors, meaning it is more likely to be linear. A large Gamma value means that the decision boundary is based on a smaller distance, meaning it is more likely to be more complex and non-linear, potentially even resulting in overfitting if the value is too high.