## Naive Bayes MCQ’s – Artificial Intelligence

Question 1 :

Contents

Naive Baye is?

Options :

a. Conditional Independence

b. Conditional Dependence

c. Both a and b

d. None of the above

`Answer :a. Conditional Independence`

Question 2 :

Naive Bayes requires?

Options :

a. Categorical Values

b. Numerical Values

c. Either a or b

d. Both a and b

`Answer :a. Categorical Values`

Question 3 :

Probabilistic Model of data within each class is?

Options :

a. Discriminative classification

b. Generative classification

c. Probabilistic classification

d. Both b and c

`Answer :d. Both b and c`

Question 4 :

A Classification rule is said?

Options :

a. Discriminative classification

b. Generative classification

d. Both a and c

`Answer :d. Both a and c`

Question 5 :

Spam Classification is an example for ?

Options :

a. Naive Bayes

b. Probabilistic condition

c. Random Forest

d. All the
Above

`Answer :a. Naive Bayes`

Question 6 :

Time complexity for Naive Bayes classifier for n feature, L classdata
is

Options :

a. n*L

b . O(n+L)

c. O(n*L)

d. O(n/L)

`Answer :`

c. O(n*L)

Question 7 :

Naive Bayes pays attention to complex interactions and

Options :

a. Local Structure

b. Statistical Model

c. Both a and b

d. none of
these

`Answer :a. Local Structure`

Question 8 :

A list of symptoms, predict whether a patient has diseaseX or not

Options :

a. Medical Diagnosis

b. Weather Diagnosis

c. Spam Diagnosis

d. All the Above

`Answer :a. Medical Diagnosis`

Question 9 :

In Na+ve Bayes Numerical variable must be binned and converted to ?

Options :

a. Categorical Values

b. Numerical Values

c. Either a or b

d. Both a and b

`Answer :a. Categorical Values`

Question 10 :

In Exact Bayes calculation is limited to the two firms matching with
there?

Options :

a. Diagnosis value

b. Probabilistic condition

c. Characteristics

d. Noneof the above

`Answer :c. Characteristics`

Question 11 :

A probabilistic model of data within each class is an example for ?

Options :

a. Discriminative classification

b. Generative classification

c. Probabilistic classification

d. Both a and c

`Answer :b. Generative classification`

Question 12 :

In Naive Bayes the relation between P(Fraud) and P(Truthful) is ?

Options :

a. Greater than

b. Lesser than

c. Equal to

d. None of these

`Answer :a. Greater than`

Question 13 :

There are how many methods to establish a classifier ?

Options :

a. One

b. Two

c. Three

d. None of these

`Answer :c. Three`

Question 14 :

How many Firms in Exact Bayes Calculation ?

Options :

a. One

b. Two

c. Three

d. None of these

`Answer :b. Two`