We are given the following training examples: (1.2, 3.2), (2.8, 8.5), (2,4.7), (0.9, 2.9), (5.1, 11) We want to apply a 3-nearest neighbor rule in order to perform regression. a): Predict the label (real value) at each of the following two points: a1 = 1.5 and X2 = 4.5. Instead of weighing the contribution of each of the 3 nearest neighbors equally, this time we want to perform distance-weighted nearest neighbor regression. What values do we predict now for x1 = 1.5 and x2 = 4.5?
We are given the following training examples: (1.2, 3.2), (2.8, 8.5), (2,4.7), (0.9, 2.9), (5.1, 11) We want to apply a 3-nearest neighbor rule in order to perform regression. a): Predict the label (real value) at each of the following two points: a1 = 1.5 and X2 = 4.5. Instead of weighing the contribution of each of the 3 nearest neighbors equally, this time we want to perform distance-weighted nearest neighbor regression. What values do we predict now for x1 = 1.5 and x2 = 4.5?
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 17HP
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![We are given the following training examples:
(1.2, 3.2), (2.8, 8.5), (2,4.7), (0.9, 2.9), (5.1, 11)
We want to apply a 3-nearest neighbor rule in order to perform regression.
(a) :
Predict the label (real value) at each of the following two points: 1 =
1.5 and
x2 = 4.5.
time we want to perform distance-weighted nearest neighbor regression. What values do we
predict now for x1 = 1.5 and x2 = 4.5?
(b).
Instead of weighing the contribution of each of the 3 nearest neighbors equally, this](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F3be63e81-0a65-46b2-8fde-c24324f63593%2Fd63db7b8-9fe8-479a-9ec3-e87f6264e980%2Fgzbq7ld_processed.jpeg&w=3840&q=75)
Transcribed Image Text:We are given the following training examples:
(1.2, 3.2), (2.8, 8.5), (2,4.7), (0.9, 2.9), (5.1, 11)
We want to apply a 3-nearest neighbor rule in order to perform regression.
(a) :
Predict the label (real value) at each of the following two points: 1 =
1.5 and
x2 = 4.5.
time we want to perform distance-weighted nearest neighbor regression. What values do we
predict now for x1 = 1.5 and x2 = 4.5?
(b).
Instead of weighing the contribution of each of the 3 nearest neighbors equally, this
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