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Exhibit 9-1. The confusion matrix for a classification method with Class 1 and C

ID: 3266901 • Letter: E

Question

Exhibit 9-1. The confusion matrix for a classification method with Class 1 and Class 0 is given below

Confusion Matrix

Predicted Class

Actual Class

   1

0

        1

120

10

        0

100

70

Refer to Exhibit 9-1. What is the percent overall error rate?

36.67%

43.25%

58.82%

7.69%

Refer to Exhibit 9-1. What are the percent error rates for Class 1 and Class 0 ?

7.69% and 58.82%, respectively

36.67% and 43.25%, respectively

7.69% and 36.67% , respectively

43.25% and 7.69%, respectively

Confusion Matrix

Predicted Class

Actual Class

   1

0

        1

120

10

        0

100

70

Explanation / Answer

Here,

Confusion Matrix

Predicted Class

Actual Class

   1

0

        1

a11=120

a10=10

        0

a01=100

a00=70

Here, a11=120=is number of observations whose class labels are 1 & also whose predicted class labels are 1(correct classification) ,

a10= 10=is number of observations whose class labels are 1 but whose predicted class labels are 0(mis- classification) ,

a01=100=is number of observations whose class labels are 0 but whose predicted class labels are 1(mis- classification) ,

a00=70=is number of observations whose class labels are 0 & also whose predicted class labels are 0 (correct classification)

(1) The percent overall error rate is=(Number of mis-classified observations)/Total observations

={(a10+a01)/(a11+a10+a01+a00)}*100

={(10+100)/(120+10+100+70)*100}*100

   =36.66667%

Hence , answer of this question is option A.36.67%

(2)The percent error rates for Class 1 ={a10/(a11+a10)}*100

={10/(120+10)}*100

=7.692308%

The percent error rates for Class 0 ={a01/(a01+a00)}*100

={100/(100+70)}*100

   =58.82353%

Hence , answer of this question is option A.7.69% and 58.82%, respectively


Confusion Matrix

Predicted Class

Actual Class

   1

0

        1

a11=120

a10=10

        0

a01=100

a00=70

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