KNN and Decision Tree

KNN and Decision Tree

University

8 Qs

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KNN and Decision Tree

KNN and Decision Tree

Assessment

Quiz

Computers

University

Medium

Created by

Nur Izzati Ab Kader

Used 62+ times

FREE Resource

8 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

  1. KNN algorithm does more computation on test time rather than train time.

True

False

2.

MULTIPLE SELECT QUESTION

45 sec • 1 pt

  1. Which of the following statement is true about k-NN algorithm? (can be more than 1 answer is true)

k-NN performs much better if all of the data have the same scale

k-NN works well with a small number of input variables (p), but struggles when the number of inputs is very large

k-NN makes no assumptions about the functional form of the problem being solved

3.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Which of the following distance metric can not be used in k-NN?

Manhattan

Euclidean

Chebychev

All can be used

4.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Which of the following will be Euclidean Distance between the two data point A(1,3) and B(2,3)?

1

2

4

8

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In decision tree, the inner node represents a class

True

False

6.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Which algorithm is using information gain as its splitting criteria?

ID3

C4.5

CART

All of above are true

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Attribute which entropy has value 0 is purest.

True

False

8.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Which of the following algorithm are not an example of ensemble learning algorithm?

Random Forest

Adaboost

Gradient Boosting

Decision Trees