KNN algorithm does more computation on test time rather than train time.
KNN and Decision Tree

Quiz
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Computers
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University
•
Medium
Nur Izzati Ab Kader
Used 62+ times
FREE Resource
8 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
True
False
2.
MULTIPLE SELECT QUESTION
45 sec • 1 pt
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
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