Question

Assertion (A): The training data should be authentic and relevant to the problem statement scoped. 

Reason (R): It increases the AI Project efficiency. 

1. Both Assertion (A) and Reason (R) are correct and Reason (R) is the correct explanation of Assertion (A). 
2. Both Assertion (A) and Reason (R) are correct, but Reason (R) is not the correct explanation of Assertion (A). 
3.  Assertion (A) is correct, but Reason (R) is not correct. 
4.  Assertion (A) is not correct, but Reason (R) is correct. 

Topic: Intro to AI

Type: MCQ ( Multiple Choice Question)

#Boards 2021 question 

Answer 1

Both assertion and reason are true and reason is the correct explanation of assertion

Explanation:-

For AI project efficiency the data needs to be relevant and authentic.

If it is not relevant and authentic then the testing data may go wrong or produced irrelevant predictions.

For example, while processing data for a cricket match for net run rate prediction, the testing data should be provided for batting, not bowling. If the bowler’s data will be processed as testing data then the net run rate will be predicted in the wrong direction.

Hence, for any AI project to be efficient, the training data should be authentic and relevant to the problem statement scoped.

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Study more about Intro to AI at Introduction to AI class 10