(Solved): Machine learning Question 1 What is the difference between classification and regression? A Output ...

Machine learning

Question 1 What is the difference between classification and regression? A Output in classification is categorical. Output in regression is numerical B Classification is supervised, while regression is unsupervised Linear regression can be used for classification but not regression D) None of the above The following data set shows the grade of students in a particular module. ID is the student id, Age is the student age, Gender is the student gender, and Time on blackboard indicates the amount of hours the student spends on the blackboard. Id Age Gender Time on Blackboard Grade *** 1 Young Male Long High 2 Young Male Short Low 3 Old Male Medium High 4 Old Female Medium Low 5 Old Female Short Low 6 Old Female Long High Our goal is to predict the student Grade using a decision tree. This goal is considered: A regression B classification C clustering D anomaly detection E none of the above for the same data set above, the expected information of the gender attribute, Info(Gender), can be calculated using the following formula (recall that our target attribute is Grade): 4 (A) -x Info ([3.3])+-x Info ([3.3]) 6 6 4 B 2x Info ([1,1]) + + x Info ([2.2]) - 6 6 3 3 © ²/ × -x Info ([2,1]) +-x Info ([1,2]) 6 + ² × 6 2 ? ²x Info ([2,0])+²x Info ([0,2]) + ²x Info ([1,1]) 6 6 6 2 2 E -x Info ([2,0])+xInfo ([0,2]) +-x Info ([0,2]) 6 6 6