In SVM, RBF kernel with appropriate parameters to perform binary classification where the data is non-linearly seperable. In this scenario

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Mr. Dubey

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Q. In SVM, RBF kernel with appropriate parameters to perform binary classification where the data is non-linearly seperable. In this scenario

(A) the decision boundry in the transformed feature space in non-linear
(B) the decision boundry in the transformed feature space in linear
(C) the decision boundry in the original feature space in not considered
(D) the decision boundry in the original feature space in linear

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✅ Correct Answer: (B) the decision boundry in the transformed feature space in linear

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