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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 |

Answer» B. the decision boundry in the transformed feature space in linear |

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