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Stats Question We want to predict whether a watermelon is a seedless (class 0) or seeded (class 1) variety, based on two attributes. We have

Stats Question

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We want to predict whether a watermelon is a seedless (class 0) or seeded (class 1) variety, based on two attributes. We have a training set of 9 examples and a test set with 2 examples, as shown in the plot below. 80 0 70 O 60 0 Legend Class 0: seedless Leng th (cm) 50 Class 1: seeded Test example 40 O 30 80 90 100 110 Circumference (cm) No two melons have the same length and circumference. (a) (2 pt] The first watermelon in the test set has circumference 90cm and length 40cm. What class will a 1-nearest neighbor classifier predict for this watermelon? Class O: Seedless Class 1: Seeded answer choose 0 or 1) (b) (2 pt) What class will a 3-nearest neighbor classifier predict for this watermelon? Class O: Seedless Class 1: Seeded answer: (choose 0 or 1) (c) (2 pt) What class will a 5-nearest neighbor classifier predict for this watermelon? Class 0: Seedless Class 1: Seeded

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