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Q 3 3 . Given the following training data samples with two classes ( circles and triangles ) . Which of the following classifiers can

Q33. Given the following training data samples with two classes (circles and triangles). Which of the following classifiers can we use to separate the two classes with 100% training accuracy?
(a) SVM with a polynomial kernel (polynomial degree is 2)
(b) The two classes cannot be separated using any of the given classifiers.
(c) The Perceptron algorithm (single perceptron)
(d) K-Nearest Neighbor classifier )=(20
(e) SVM with a polynomial kernel (polynomial degree is 1)
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