Question

In: Statistics and Probability

Use Naïve Bayes to build the classification model for the first 10 instances using three different probability estimations listed in the following, and then make predictions for the last five instances

Use Naïve Bayes to build the classification model for the first 10 instances using three different probability estimations listed in the following, and then make predictions for the last five instances. What is the accuracy of this model?

a. Using the original probability estimation;

b. Using Laplace correction;

c. Using m-estimation with m=1.

age

sex

sick

pregnant

tumor

class

TRAINING RECORDS

19

F

Serious

Yes

Yes

positive

49

M

Light

No

No

negative

28

F

heavy

Yes

Yes

positive

62

M

Light

No

No

negative

35

F

Serious

Yes

Yes

negative

78

F

Light

No

Yes

positive

71

M

heavy

No

No

negative

25

F

Serious

Yes

Yes

positive

45

M

Light

No

No

negative

31

F

heavy

Yes

Yes

negative

TESTING RECORDS

40

F

Serious

Yes

Yes

positive

22

M

Light

No

No

negative

50

F

Serious

No

Yes

positive

31

F

Light

Yes

No

negative

24

M

heavy

No

Yes

positive

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