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Please help Data Mining Naïve Bayes Example 1. A competing used car dealership t

ID: 3691932 • Letter: P

Question

Please help

Data Mining

Naïve Bayes Example

1. A competing used car dealership that sells US, European, and Japanese cars is trying to install a machine learning system that will automatically detect whether a car is stolen or not given such parameters as: the car’s size, type and the country of origin. Below is the data that the dealership has already collected:

Instance ID

Size

Type

Country

Stolen?

1

Large

Family

USA

No

2

Large

Family

USA

No

3

Large

Family

Europe

Yes

4

Medium

Family

Japan

No

5

Medium

Family

Europe

Yes

6

Medium

Luxury

Japan

No

7

Medium

Luxury

Japan

Yes

8

Medium

Luxury

USA

No

9

Large

Luxury

Japan

No

10

Large

Family

USA

Yes

                 Size

P(Large|No)=1/2

P(Large|Yes)=1/2

P(Medium|No)=1/2

P(Medium |Yes)=1/2

Type

P(Family|No)=1/2

P(Family|Yes)=1/2

P(Luxury |No)=1/2

P(Luxury |Yes)=1/4

Country

P(USA|No)=1/2

P(USA|Yes)=1/4

P(Europe|No)=0

P(Europe|Yes)=1/2

P(Japan|No)=1/2

P(Japan |Yes)=1/2

Stolen

P(No)=6/10

P(Yes)=4/10

a)Using the above table estimate whether the car with the following parameters that just arrived to the dealership is stolen or not. Show your work.

Large, Luxury, USA

Instance ID

Size

Type

Country

Stolen?

1

Large

Family

USA

No

2

Large

Family

USA

No

3

Large

Family

Europe

Yes

4

Medium

Family

Japan

No

5

Medium

Family

Europe

Yes

6

Medium

Luxury

Japan

No

7

Medium

Luxury

Japan

Yes

8

Medium

Luxury

USA

No

9

Large

Luxury

Japan

No

10

Large

Family

USA

Yes

Explanation / Answer

Here is the formula if u have any queries please comment u can add ur values easily

P(Stolen|<Large, Luxury, USA>) = P(<Large, Luxury, USA>|Stolen) x P(Stolen)

=

P(Not Stolen|<Large, Luxury, USA>) =