AILABQuiz

AILABQuiz

University

8 Qs

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AILABQuiz

AILABQuiz

Assessment

Quiz

Computers

University

Easy

Created by

Sumab Rao

Used 4+ times

FREE Resource

8 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

The search algorithm which is similar to the minimax search, but removes the branches that don't affect the final output is known as__.

Depth-first search

Breadth-first search

Alpha-beta pruning

None of these

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Among the given options, which search algorithm requires less memory?

Depth First Search

Breadth-First Search

Can ‘t tell

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

The PEAS in the task environment is about____________.

Peer, Environment, Actuators, Sense

Performance, Environment, Actuators, Sensors

Perceiving, Environment, Actuators, Sensors

None of these

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

A* Algorithm based on

Depth-first search

Breadth-first search

Best-first Search

None of these

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is the assumptions of Naïve Bayesian classifier?

None of these
 

It assumes that each input variable is dependent

It assumes that each input attributes are independent of each other

It assumes that the data dimensions are dependent

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Arrange the following steps in sequence in order to calculate the probability of an event through Naïve Bayes classifier.

  I. Find the likelihood probability with each attribute for each class.
II. Calculate the prior probability for given class labels.
III. Put these values in Bayes formula and calculate posterior probability.
IV. See which class has a higher probability, given the input belongs to the higher probability class.

I → II → III → IV


II → I → III → IV

III → II → I → IV

II → III → I → IV

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following is an example of an ensemble learning algorithm?

Decision Tree

 

K-Nearest Neighbors (KNN)

Support Vector Machine (SVM)

Random Forest

8.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Ensemble of classifiers can be constructed by

manipulating training set

manipulating input features

manipulating class labels

all of these