Evaluation Class 10 AI MCQ

Teachers and Examiners (CBSESkillEduction) collaborated to create the Evaluation Class 10 AI MCQ. All the important MCQs are taken from the NCERT Textbook Artificial Intelligence ( 417 ) class X.

Evaluation Class 10 AI MCQ

evaluation class 10 ai mcq

1. ___________ is the process of understanding the reliability of any AI model, based on outputs by feeding
test dataset into the model and comparing with actual answers.
a. Evaluation 
b. Problem Scoping
c. Data acquisition
d. Data Exploration

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a. Evaluation

Evaluation Class 10 AI MCQ

2. If model will simply remember the whole training set, and will therefore always predict the correct label for any point in the training set. This is known as ____________.
a. Overfitting 
b. Overriding
c. Over remembering
d. None of the above

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a. Overfitting

Evaluation Class 10 AI MCQ

3. The result of comparison between the prediction and reality can be recorded in what we call the __________.
a. Overfitting
b. Problem Scoping
c. Confusion Matrix 
d. Data acquisition

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c. Confusion Matrix

4. The _____________ allows us to understand the prediction results.
a. Overfitting
b. Problem Scoping
c. Confusion Matrix 
d. Data acquisition

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c. Confusion Matrix

5. _________ is defined as the percentage of correct predictions out of all the observations.
a. Overfitting
b. Accuracy
c. Confusion Matrix
d. Data acquisition

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b. Accuracy

Evaluation Class 10 AI MCQ

6. _______ is defined as the percentage of true positive cases versus all the cases where the prediction is true.
a. Overfitting
b. Accuracy
c. Precision 
d. Data acquisition

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c. Precision

7. ___________ can be defined as the fraction of positive cases that are correctly identified.
a. Recall 
b. Accuracy
c. Precision
d. Data acquisition

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a. Recall

8. ___________ can be defined as the measure of balance between precision and recall.
a. Recall
b. Accuracy
c. Precision
d. F1 Score 

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d. F1 Score

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