The following statements describe the KNN method. Determine whether each of the statements is true or false.

1. The KNN method is an example of non-parametric approaches.
[Choose]

2. As K increases, the method becomes more flexible.
[Choose]

Question

16-07-2024
Mathematics

Answered

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The following statements describe the KNN method. Determine whether each of the statements is true or false.

1. The KNN method is an example of non-parametric approaches.
[Choose]

2. As K increases, the method becomes more flexible.
[Choose]

Sagot :

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GinnyAnsweridn GinnyAnsweridn · Answer 1 · 2024-07-16T22:54:12-04:00

Final answer:

KNN method is non-parametric and becomes more flexible as K increases.

Explanation:

True: The KNN method is indeed an example of non-parametric approaches. This means it does not make strict assumptions about the form of the underlying data distribution.

True: As K increases in the KNN method, it does become more flexible. Higher values of K lead to smoother decision boundaries, reducing the impact of noise.

Learn more about KNN method here:

https://brainly.com/question/33342457

Sagot :

Final answer:

Explanation:

Learn more about KNN method here:

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