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QUESTION 3 The mathematical function in which each variable appears in a separate term and is...

QUESTION 3

  1. The mathematical function in which each variable appears in a separate term and is raised to the first power is known as a

    a.

    nonlinear function

    b.

    power function

    c.

    linear function

    d.

    what-if function

    e.

    None of the above

QUESTION 5

  1. The confusion matrix for a classification method with Class 0 and Class 1 is given below.

    Confusion Matrix

    Actual\Predicted

    0

         1

                0

    108

    50

                1

    32

    110

      What is the percent overall error rate?

    a.

    37.6%

    b.

    8.58%

    c.

    27.33%

    d.

    25.90%

    e.

    None of the above

1.5 points   

QUESTION 6

  1. Constrains are

    a.

    quantities to be maximized n a linear programming model.

    b.

    quantities to be minimized n a linear programming model.

    c.

    restrictions that limit the settings of the decision variables.

    d.

    input variables that can be controlled during optimization.

QUESTION 21

  1. The range of computer-generated random numbers is

    a.

    [-9,9]

    b.

    [0, 1)

    c.

    [-9, 0)

    d.

    [1,9]

    e.

    None of the above

1.5 points   

QUESTION 22

  1. The confusion matrix for a classification method with Class 0 and Class 1 is given below.

    Confusion Matrix

    Actual\Predicted

    0

         1

                0

    108

    50

                1

    32

    110


    What are the percent error rates for Class 1?

    a.

    22.54%

    b.

    16.38%

    c.

    41.25%

    d.

    36.67%

    e.

    None of the above

      
      

answer all questions

Homework Answers

Answer #1

Q. 3 : answer c) Linear Function

Mathematical functions in which each variable appears in a separate term and is raised to the first power are called linear functions.

Q.5. answer : c) 27.33%

Error rate is calculated as the total number of two incorrect predictions (FN + FP) divided by the total number of a dataset (P + N). overall error rate = (82/300 )*100 = 27.33%

Q.6 Answer : c) restrictions that limit the settings of the decision variables.

Q.21 answer : b. [0, 1)

Q. 22 answer : a) 22.54%

Error rate of class 1 = 100- number of correct positive predictions divided by the total number of positives*100

Error rate of class 1 = 100 - (110/142) *100

= 22.54%

PL??

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