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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.





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