Page 455 - AI Ver 3.0 Class 11
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(v)  The K-Nearest Neighbours (KNN) algorithm assigns a class to new data point by considering:      1
                       a) Distance from the data point to a predefined decision boundary
                       b) Majority vote of its K nearest neighbours in the training data
                       c)  Similarity of the data point to a cluster centroid

                       d) Probability of each class given the data point’s features.
                   (vi)  The correlation between two variables is given as r = 0.0. What does this mean?                1

                       a) The best straight line through the data is horizontal
                       b) There is a perfect positive relationship between the two variables
                       c)  There is a perfect negative relationship between the two variables
                       d) All of the points must fall exactly on the horizontal line


                 4.  Answer any 5 out of the given 6 questions.                                                   (5x1=5)
                    (i)  What is clustering?                                                                            1
                       a) Grouping labelled dataset
                       b) Dividing data into different clusters
                       c)  Finding linear association between variables

                       d) Predicting future behaviours of a dependent variable

                   (ii)  Gaurav is studying Regression. He is unable to understand what the ‘Line of best fit’ means. Mention 2 features
                       about the ‘Line of Best fit’ for Gaurav.                                                         1

                   (iii)  What does a classification model in AI ultimately want to achieve?                            1
                       a) to identify patterns and associations in data
                       b) to predict continuous numerical values
                       c)  to categorize input data into predefined classes or labels
                       d) to optimize decision-making processes

                   (iv)  Which of the following is NOT a common task in NLP?                                            1
                       a) Machine translation                            b) Text summarisation
                       c)  Speech recognition                            d) Image recognition

                   (v)  ………………………. chatbots cannot answer questions outside of the established rules.                   1
                       a) Virtual                                        b) Rule based
                       c)  AI Based                                      d) All of these

                   (vi)  MIT grad student Smita was working with facial analysis software when she noticed a problem: the software
                       didn't detect her face—because the people who coded the algorithm hadn't taught it to identify a broad range
                       of skin tones and facial structures. This is an example of:                                      1
                       a) Computer vision                                b) AI bias
                       c)  NLP                                           d) Data mining


                 5.  Answer any 5 out of the given 6 questions.                                                   (5x1=5)
                    (i)  Data points that stand out from the rest of the dataset are known as ………………………. .              1
                   (ii)  Name the 4 types of Correlation that you have studied.                                         1





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