SVM Kernel Selection

Medium

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You are classifying data points that form concentric circles (inner circle = class A, outer ring = class B). A linear SVM fails completely. Which kernel would you try next?

Multiple Choice

A polynomial kernel of degree 1, which is equivalent to a linear kernel The RBF (radial basis function) kernel, which can capture circular decision boundaries No kernel, just increase the C parameter for a harder margin A sigmoid kernel, which always outperforms RBF on circular data

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SVM Kernel Selection

Multiple Choice

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