Page 355 - AI Ver 1.0 Class 10
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ii.  Which of the following is an example of applications of NLP?
                       (a) Deep learning                              (b)   Modelling

                       (c) Automatic Summarization                    (d)   Problem Scoping

                    iii.  Rajat ordered food online from a popular food delivery app. But there was some issue with his order. After receiving it,
                       he realised that the quantity for which he was charged was incorrect. The number of food items that he ordered were
                       less than what the bill was charged for. After the delivery, he received a link for the feedback. A series of questions led
                       him to register his complaint with the portal. It is an AI powered feature. Name it.
                    iv.  What does TF-IDF stand for?

                     v.  Which among the following simulate human-like interactions with the users?
                       (a) Robots                                     (b) Chatbots

                       (c)  Computers                                 (d) Project cycle

                    vi.  Kalyan Vidyalayam installed an AI system named AI Receptionist in their School office. It was developed by their senior
                       section students. It is a voice enabled chatbot equipped and trained to answer queries at the school reception in a
                       human-like interface. The chatbot can also print out a list of FAQs if requested. Name the domain of AI based on which
                       the chatbot is working.

                 5.  Answer any 5 out of the given 6 questions                                           (1 x 5 = 5 marks)
                     i.  An AI model predicting earthquakes incorrectly predicted no earthquake. However, in reality an earthquake did occur.
                       This will be marked under ..................................... category of the confusion matrix. (False positive/False negative)
                     ii.  In the Confusion Matrix the target variable has two values ..................................... and ..................................... .
                      iii.  Which of the following metric best analyses the performance of a model?

                       (a) Accuracy                                   (b) Recall

                       (c) Precision                                  (d) F1 Score
                    iv.  Differentiate between Prediction and Reality.

                       (a) Prediction is the input given to the machine to receive the expected result of the reality.

                       (b) Prediction is the output given to match the 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.

                     v.  When should we perform Evaluation of an AI model?
                       (a) After training the model                   (b) After testing the model with testing data

                       (c)  Along with Modelling                      (d) None of these

                    vi.  Priya was confused with the terms used in the evaluation stage. Suggest her the term used for the percentage of
                       correct predictions out of all the observations.

                       (a) Accuracy                                   (b) Precision

                       (c) Recall                                     (d) F1 Score






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