Confusion Matrix Quiz Instructions:Number of questions: 10Time limit: 5 minutesMust be finished in one sitting. You cannot save and finish later.Questions displayed per page: 1Will allow you to go back and change your answers.Will not let you finish with any questions unattempted. 1 / 10 A confusion matrix is used for classification tasks where the output of the algorithm is in ……. class/classes Two or more More than three Two One 2 / 10 Machine learning classification metrics like “Accuracy” give ___ useful information. More Accurate Less Perfect 3 / 10 High entropy means that the partitions in classification are Useful Not pure Pure Useless 4 / 10 We have a data-set where we are predicting number of people who have more than $1000 in their bank account. Consider a data-set with 200 observations i.e. n=200from the above matrix Out of 200 cases, our classification model predicted “YES” 125 times, and “NO” 65 times. Out of 200 cases, our classification model predicted “YES” 135 times, and “NO” 65 times. Out of 200 cases, our classification model predicted “YES” 135 times, and “NO” 60 times. Out of 200 cases, our classification model predicted “YES” 135 times, and “NO” 5 times. 5 / 10 The confusion matrix visualizes the ____ of a classifier by comparing the actual and predicted classes. Accuracy Comparativity Stability Connectivity 6 / 10 From the above Table In reality, there are totally 130 accounts who have a balance more than $1000 and 70 accounts with balance - less than $1000 In reality, there are totally 60 accounts who have a balance more than $1000 and 70 accounts with balance - less than $1000 In reality, there are totally 135 accounts who have a balance more than $1000 and 70 accounts with balance - less than $1000 In reality, there are totally 125 accounts who have a balance more than $1000 and 10 accounts with balance - less than $1000 7 / 10 We have a test dataset of 10 records with expected outcomes and a set of predictions from our classification algorithm.No#ExpectedPredicted1Man,Woman2Man,Man3Woman,Woman4Man,Man5Woman,Man6Woman,Woman7Woman,Woman8Man,Man9ManWoman10Woman,Womanmen classified as men? 4 2 3 5 8 / 10 The confusion matrix is used when there are two or more classes as the output of the classifier. False True 9 / 10 Classification accuracy alone can be misleading if you have ________ number of observations in each class. A wrong An unequal A equal A correct 10 / 10 Suppose we would like to convert a nominal attribute X with 4 values to a data table with only binary variables. How many new attributes are needed? 2 1 8 4 Your score is LinkedIn Facebook Twitter 0% Restart quiz
