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C. Competency-based/Application-based questions:
Unsolved Questions
1. An AI model made the following predictions for Book Sales forecast. Calculate Accuracy, precision and recall for the
following confusion matrix: SECTION A (Objective Type Questions)
Confusion Matrix True Positives True Negatives uiz
A. Tick ( ) the correct option:
Predicted Positive 50 40
1. An AI model is trained to predict the traffic jams in a particular highway. What according to you can be the data features
Predicted Negative 12 10 for such a type of model?
Ans. a. Average traffic on weekdays
TP 50 40 FP
b. Day and time of traffic jams
FN 12 10 TN c. Weather conditions on the days of traffic jams
Correction prediction d. All of the above
Accuracy =
Total Cases 2. If prediction is low and recall is high, what will be the F1 score?
(TP + TN) a. Same b. Low
= × 100%
(TP + TN + FP + FN) c. High d. None
50 + 10 3. Which of the following is true when the value of precision is low?
= × 100%
50 + 10 + 40 + 12 a. True Positive is high b. False Positive is low
60 c. False Positive is high d. None of the above
= × 100% = 55.5%
112 4. What will be the outcome, if the Prediction is “Yes” and it matches with the Reality? What will be the outcome, if the
True Positive Prediction is “Yes” and it does not match the Reality? [CBSE Sample Paper, 2021]
Prevision = × 100%
All Predicted Positive a. True Positive, True Negative b. True Negative, False Negative
TP c. True Negative, False Positive d. True Positive, False Positive
= × 100%
TP + FP 5. Differentiate between Prediction and Reality. [CBSE Sample Paper, 2021]
50 a. Prediction is the input given to the machine to receive the expected result of the reality.
= × 100% = 55.5%
50 + 40 b. Prediction is the output given to match the reality.
True Positive c. The prediction is the output which is given by the machine and the reality is the real scenario in which the
Recall = × 100% prediction has been made.
True Positive + False Negative
d. Prediction and reality both can be used interchangeably.
50
= = 0.80
50 + 12 6. Which of the following statements is true for the term Evaluation? [CBSE Sample Paper, 2021]
a. Helps in classifying the type and genre of a document.
2. Assertion: Evaluation is the process of understanding the outcome of any AI model. b. It helps in predicting the topic for a corpus.
Reason: There can be different Evaluation techniques, depending on the type and purpose of the model. c. Helps in understanding the reliability of any AI model.
(i) Both A and R are correct and R is the correct explanation of A. d. Process to extract the important information out of a corpus.
(ii) Both A and R are correct but R is NOT the correct explanation of A. 7. Prediction and Reality can be easily mapped together with the help of: [CBSE Sample Paper, 2021]
(iii) A is correct but R is incorrect. a. Prediction b. Reality
(iv) A is incorrect but R is correct. c. Accuracy d. Confusion Matrix
Ans. (iv) A is incorrect but R is correct.
324 Touchpad Artificial Intelligence-X

