An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
13th Edition
ISBN: 9781461471370
Author: Gareth James
Publisher: SPRINGER NATURE CUSTOMER SERVICE
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Chapter 4, Problem 5E

a.

Explanation of Solution

Baye’s decision boundary

  • If the Bayes decision boundary is linear, then QDA is expected to perform better on the training set.
  • Because of its higher flexibility, it may yield a closer fit...

b.

Explanation of Solution

Baye’s decision boundary

  • If the Bayes decision boundary is non-linear, QDA...

c.

Explanation of Solution

Baye’s decision boundary

  • QDA is more flexible than LDA and so has higher variance...

d.

Explanation of Solution

Baye’s decision boundary

  • With fewer sample points, the variance from using a more flexible method s...

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Chapter 4 Solutions

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

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