(12 points) Consider the following training data, each described by features and Class x y Class...
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(12 points) Consider the following training data, each described by features and Class x y Class -1 1 소 04 14 +e 0 24 -A 14 -14 14 0 14 20 24 24 -A 24 3 + E E +1 +e N 1. T. 3 2 1 0 -1 -2 -2 I 1 a) (4 points) What is the prediction of the 3-nearest neighbor classifier at the point (1,1)? < 2 b) (4 points) What is the prediction of the 5-nearest neighbor classifier at the point (1,1)? c) (4 points) What is the prediction of the 7-nearest neighbor classifier at the point (1,1)? (12 points) Consider the following training data, each described by features and Class x y Class -1 1 소 04 14 +e 0 24 -A 14 -14 14 0 14 20 24 24 -A 24 3 + E E +1 +e N 1. T. 3 2 1 0 -1 -2 -2 I 1 a) (4 points) What is the prediction of the 3-nearest neighbor classifier at the point (1,1)? < 2 b) (4 points) What is the prediction of the 5-nearest neighbor classifier at the point (1,1)? c) (4 points) What is the prediction of the 7-nearest neighbor classifier at the point (1,1)?
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The positive class are at points 0 1 1 0 1 2 2 3 The negative class are at points 1 1 ... View the full answer
Related Book For
Income Tax Fundamentals 2013
ISBN: 9781285586618
31st Edition
Authors: Gerald E. Whittenburg, Martha Altus Buller, Steven L Gill
Posted Date:
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