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2.  Assertion (A):  Clustering is widely used in various applications such as customer segmentation, image recognition, and
                                 data analysis to identify natural groupings within data without predefined labels.
                    Reasoning (R):  Clustering is a technique in machine learning where data points are grouped together based on their
                                  similarities.
                  3.  Assertion (A): KNN’s evaluation stage is very quick.
                    Reasoning (R): KNN calculates distance for every training occurrence.

                  4.  Assertion (A): Multiclass classification implies those classification tasks that have more than two class labels.
                    Reasoning (R): Multiclass classification does not have the concept of normal and abnormal classes.

                    Direction: Questions 5-6 below, consist of two statements
                     Two statements are given below. Statement 1 and Statement 2 . Examine the statements and answer the question
                    according to the instruction given below.
                     a. Statement 1 is TRUE , Statement 2 is TRUE
                     b. Statement 1 is FALSE , Statement 2 is FALSE
                     c. Statement 1 is TRUE , Statement 2 is FALSE
                     d. Statement 1 is FALSE , Statement 2 is TRUE
                  5.  Statement 1: The KNN technique can be applied to both regression and classification problems.

                      Statement 2:  KNN determines the data point based on proximity of new datapoint.
                  6.  Statement 1: Data preparation means including effective data features for the clustering algorithm.
                    Statement 2:  The data features must stay within the limitations given by original data set and should not include new
                                changes.
                Ans.  2. a       3. d       4.b       5.a       6.c





                                                     Unsolved Questions


                                                SECTION A (Objective Type Questions)
                        uiz

              A.  Tick ( ) the correct option.
                  1.  Which of the following is NOT a common machine learning method?
                    a.  Decision trees                                 b.  Neural networks

                    c.  Support vector machines                        d.  Polynomial regression
                  2.  Which type of learning does a Virtual Personal Assistant (VPA) like Siri or Alexa use?

                    a.  Supervised learning                            b.  Unsupervised learning
                    c.  Reinforcement learning                         d.  All of these
                  3.  In regression analysis, what type of events are typically forecasted?

                    a.  Categorical                                    b.  Continuous
                    c.  Binary                                         d.  Discrete








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