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K-Nearest Neighbours MCQ’s (AI)

Question 1 :

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1 You may also Visit :
1.1 Factor Analysis MCQ’s
1.2 Support Vector Machine MCQ’s
1.3 Random Forest MCQ’s
1.4 Naive Bayes MCQ’s
1.5 Ancova MCQ’s – Aritificial Intelligence

Time to classify a new example than with a model in Knn requires?

Options : 

a. Depends on Data *

b. More Time

c. None of these

d. Less time

Answers : 

b. More Time

 

Question 2 :

The Euclidean distance between two a set of numerical attributes is called as?

Options : 

a. Closeness 

b. Validation data

c. Error Rate

d. None of these

Answers : 

a. Closeness 

 

Question 3 :

Which is the number of nearby neighbours to be used to classify the new record ?

Options : 

a. KNN

b. Validation data

c. Euclidean Distance

d. All the above

Answers : 

a. KNN

 

Question 4 :

Which capture the local structure in data ?

Options : 

a. Low Value

b. High Value

c. Error Rate

d. All the Above

Answers : 

a. Low Value

 

Question 5 :

Which provide more smoothing, less noise ?

Options : 

a. Low Value

b. High Value

c. Error Rate

d. All the Above

Answers : 

b. High Value

 

Question 6 :

Income, Lot size belongs to?

Options : 

a. Predictor

b. Data

c. Error Rate

d. None of these

Answers : 

a. Predictor

 

Question 7 :

Classification done in Euclidean distance is comparing feature vectors of ?

Options : 

a. Same Point

b. Within Point

c. Different Point

d. Noneof these

Answers : 

c. Different Point

 

Question 8 :

Target function value is represent ?

Options : 

a. Continuous Value

b. Discrete Value

c. Real Value

d. Both b and c

Answers : 

d. Both b and c

 

Question 9 :

Calibration of numeric data in disparate ranges makes

Options : 

a. Reduce Effects

b. Increase Lot Size

c. Reduce Distance

d. All the above

Answers : 

a. Reduce Effects

 

Question 10 :

All training points may influence a particular instance ?

Options : 

a. Sheppard’s Method

b. Skew rule

c. Euclidean Distance

d. None of these

Answers : 

a. Sheppard's Method

 

Question 11 :

Select K Average test Error?

Options : 

a. Minimum

b. Maximum

c. Null

d. None of these

Answers : 

a. Minimum

 

Question 12 :

In Optimal value of ‘k’ training part considered as?

Options : 

a. P

b. P-1

c. 1-p

d. 1

Answers : 

b. P-1

 

You may also Visit :

Factor Analysis MCQ’s

Support Vector Machine MCQ’s

Random Forest MCQ’s

Naive Bayes MCQ’s

Ancova MCQ’s – Aritificial Intelligence

 

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