Apply the Naive Bayes classifier algorithm for buys computer classification

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Apply the Naive Bayes classifier algorithm for buys computer classification

written 5.1 years ago by

teamques10 ★ 65k

• modified 4.2 years ago

and classify the tuple = X(age "young". Income = "medium", student = "yes" and credit - rating = "fair")

ID	Age	Income	Student	Credit-rating	buys computer
1	young	high	no	fair	no
2	young	high	no	good	no
3	middle	high	no	fair	yes
4	old	medium	no	fair	yes
5	old	medium	no	fair	yes
6	old	low	yes	good	no
7	middle	low	yes	good	yes
8	young	medium	no	fair	yes
9	young	low	yes	fair	yes
10	old	medium	yes	fair	yes
11	young	medium	yes	fair	yes
12	middle	medium	no	good	yes
13	middle	high	yes	fair	yes
14	old	medium	no	good	no

data warehouse and mining

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written 5.1 years ago by

teamques10 ★ 65k

Let $c_1$ $\rightarrow$ buys-comp = "yes"

$c_2$ $\rightarrow$ buys - comp = "xs"

calculate class probabilities

p (1) = 9/4

p (2) = 5/14

calculate p ( $c_1$ | x) = p (x| $c_1$) . p ($c_1$)

p (x | $c_1$) = $\frac{\gamma}{11} p (xk | c_1)$

$\therefore$ p ($x_1 …

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