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Given the training set below: Age Income Student Credit_rating Buys_computer <=3

ID: 3326568 • Letter: G

Question

Given the training set below:

Age

Income

Student

Credit_rating

Buys_computer

<=30

high

no

fair

no

<=30

high

no

excellent

no

31…40

high

no

fair

no

>40

medium

no

fair

yes

<=30

low

no

fair

yes

>40

high

no

fair

no

>40

low

yes

fair

yes

>40

low

yes

excellent

no

31…40

low

yes

excellent

yes

<=30

medium

no

fair

no

<=30

low

yes

fair

yes

>40

medium

yes

fair

yes

<=30

medium

yes

excellent

no

31…40

medium

no

excellent

no

31…40

high

yes

fair

yes

>40

medium

no

excellent

yes



The information gain for attribute Student is:

Age

Income

Student

Credit_rating

Buys_computer

<=30

high

no

fair

no

<=30

high

no

excellent

no

31…40

high

no

fair

no

>40

medium

no

fair

yes

<=30

low

no

fair

yes

>40

high

no

fair

no

>40

low

yes

fair

yes

>40

low

yes

excellent

no

31…40

low

yes

excellent

yes

<=30

medium

no

fair

no

<=30

low

yes

fair

yes

>40

medium

yes

fair

yes

<=30

medium

yes

excellent

no

31…40

medium

no

excellent

no

31…40

high

yes

fair

yes

>40

medium

no

excellent

yes

Explanation / Answer

B1. Predict the class of each record:

Ans)

age

income

Student

credit_rating

buys_computer

Prediction

1

<=30

high

No

Fair

no

no

2

<=30

high

No

Excellent

yes

no

3

31…40

high

No

Fair

yes

yes

4

>40

medium

No

Fair

no

yes

5

>40

low

Yes

Fair

yes

yes

6

>40

low

Yes

Excellent

no

no

7

31…40

low

Yes

Excellent

no

yes

8

<=30

medium

No

Fair

no

no

9

<=30

low

Yes

Fair

yes

yes

10

>40

medium

Yes

Fair

No

yes

Accuracy = Number of correct predictions

                  Total number of predictions

Accuracy=6/10 =0.6

age

income

Student

credit_rating

buys_computer

Prediction

1

<=30

high

No

Fair

no

no

2

<=30

high

No

Excellent

yes

no

3

31…40

high

No

Fair

yes

yes

4

>40

medium

No

Fair

no

yes

5

>40

low

Yes

Fair

yes

yes

6

>40

low

Yes

Excellent

no

no

7

31…40

low

Yes

Excellent

no

yes

8

<=30

medium

No

Fair

no

no

9

<=30

low

Yes

Fair

yes

yes

10

>40

medium

Yes

Fair

No

yes

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