**************************** MACHINE LEARNING COURSE *******************************

Choose the right answer: i) High entropy means that the partitions in classification are a. Useless b. Not pure c. Pure d. Useful ii) Classification accuracy alone can be misleading if you have number of observations in each class. a. A wrong b. An unequal c. A equal d. A correct iii) A confusion matrix is used for classification tasks where the output of the algorithm is in class/classes. a. One b. More than three c. Two d. Two or more iv) Machine learning classification metrics like "Accuracy" give useful information. a. Perfect b. More c. Accurate d. Less v) We have a dataset where we are predicting number of students who have more than PKR 500 in their pockets. Conside 1.n+ writh onn nhservations i.e. n=200 a. Classification model predicted "Yes" 135 times, and "No" 60 timcs. b. Classification model predicted "Yes" 135 times, and "No" 65 times. c. Classification model predicted "Yes" 135 times, and "No" 5 times. d. Classification model predicted "Yes" 125 times, and "No" 65 times