Page 324 - AI Ver 1.0 Class 10
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Reality
                            Confusion matrix
                                                          YES                 NO

                                           YES     True Positive       False Positive
                         Prediction
                                           NO      False Negative      True Negative

                  5.  List down the importance of the Evaluation Process?
                Ans.  •  Evaluation ensures that the model is operating correctly and optimally.
                    •   Evaluation is an initiative to understand how well it achieves its goals.
                    •   Evaluations help to determine what works well and what could be improved in a program

              B.  Long answer type questions:

                  1.  Differentiate between Prediction and Reality.
                Ans.  Following are the differences between Prediction and Reality:
                    a.  Prediction is the input given to the machine to receive the expected result of reality.
                    b. Prediction is the output given to match reality.
                    c.   The prediction is the output which is given by the machine and the reality is the real scenario in which the prediction
                       has been made.
                    d. Prediction and reality both can be used interchangeably.
                  2.  Which evaluation metric would be crucial in the following cases? Justify your answer.
                    a.  Mail Spam
                    b. Gold mining
                    c.  Viral Outbreak

                Ans.  a.   If the model always predicts that the mail is spam, people would not look at it and eventually might lose important
                       information. False Positive condition would have a high cost.
                    b.  A model saying that there exists treasure at a point and you keep on digging there but  it turns out that it is a false
                       alarm. False Positive case is very costly.
                    c.  A deadly virus has started spreading and the model which is supposed to predict a viral outbreak does not detect it.
                      The virus might spread widely and infect a lot of people. Hence, False Negative can be dangerous.
                  3.  Select the correct category for each scenario.

                        1.    The  AI  model predicted  that  the  patient  admitted  is Covid   TP  TN  FP  FN
                              Positive, and RTPCR test is positive
                        2.    The AI model predicted that the patient admitted is not Covid   TP  TN  FP  FN
                              Positive, and RTPCR test is negative
                        3.    The  AI  model predicted  that  the  patient  admitted  is Covid   TP  TN  FP  FN
                              Positive, and RTPCR test is negative
                        4.    The AI model predicted that the patient admitted is not Covid   TP  TN  FP  FN
                              Positive, and RTPCR test is Positive

                     Storms are frequently experienced all over the world. Storms cause severe damage to people and property. Imagine
                    that you have come up with an AI based prediction model that predicts whether there will be storms in a given region
                    or not. Confusion Matrix for the same is:




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