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Exercise




                                                       Solved Questions


                                                SECTION A (Objective Type Questions)
                        uiz
              A.   Tick ( ) the correct option.
                   1.   Which of the following is a classification problem?
                        a.  Heart disease detection                    b.  Recommender systems
                        c.  Sales prediction                           d.  None of these

                   2.   Which of the following is the process of grouping a data set into a set of similar items?
                        a.  Regression                                 b.  Decision Trees
                        c.   Classification                            d.  Clustering

                   3.                 mainly considers the situation where the event occurred in reality and whether the
                       machine detects it correctly or not
                        a.  Accuracy                                   b.  Recall

                        c.  Precision                                  d.  F1 Score
                   4.   Which of the following is the process of labelling a dataset into different classes?
                        a.  Regression                                 b.  Clustering
                        c.  Classification                             d.  Decision Trees

                   5.   Clustering is            machine learning technique that automatically divides the data into clusters.
                        a.  Supervised                                 b.  Unsupervised
                        c.  Reinforcement                              d.  Deep learning

                   6.   Which of the following is NOT a clustering algorithm?
                        a.  Distribution-based                         b.  centroid-based
                        c.  Multi-class                                d.  Hierarchical
                   7.   Which of the following is an imaginary or real location denoting the centre of the cluster?
                        a.  Centroid                                   b.  Axis
                        c.  Line of best fit                           d.  Outliers

                   8.   Which of the following is NOT an advantage of K-means algorithm?
                        a.  Can handle large data sets                 b.  Can give initial positions to centroids
                        c.  Easily adapts to new data                  d.  K has to be chosen manually

                   9.   Which of the following machine learning algorithm is used in an email spam filter?
                        a.  Distribution-based Clustering              b.  Binary Classification
                        c.  Multi-class Classification                 d.  Linear Regression
                   10.                takes True Positives and False Positives into consideration in a confusion matrix.
                        a.  Accuracy                                   b.  Recall

                        c.  Precision                                  d.  F1 Score




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