Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

Cara Perhitungan Naive Bayes, Exercises of Managerial Economics

Berikut adalah contoh soal dan pembahasan untuk materi naive bayes dalam decision making

Typology: Exercises

2019/2020

Uploaded on 07/07/2020

ri-ra
ri-ra 🇬🇧

1 document

1 / 1

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Nama : Ira Rahmawati (0181031144) 31A
P(YES)
9 P(NO) 5
Tugas 3 TPK 14 14
Scenario Outlook Temperature Humidity Wind PlayTenis P(Outlook=Rainy, Play "Yes") P(Outlook=Rainy, Play "No")
DAY 1 Sunny Hot High Weak No 314 42 3 2 14 28 2
DAY 2 Sunny Hot High Strong No 14 9126 914 570 5
DAY 3 Overcast Hot High Weak Yes
DAY 4 Rain Mild High Weak Yes P(Temperature=Cool, Play "Yes") P(Temperature=Cool, Play "No")
DAY 5 Rain Cool Normal Weak Yes 314 42 3 1 14 14 1
DAY 6 Rain Cool Normal Strong No 14 9126 914 570 5
DAY 7 Overcast Cool Normal Strong Yes
DAY 8 Sunny Mild High Weak No P(Wind=Weak, Play "Yes") P(Wind=Weak, Play "No")
DAY 9 Sunny Cool Normal Weak Yes 614 84 6 2 14 28 2
DAY 10 Rain Mild Normal Weak Yes 14 9126 914 570 5
DAY 11 Sunny Mild Normal Strong Yes
DAY 12 Overcast Mild High Strong Yes P(Humadity=High, Play "Yes") P(Humadity=High, Play "No")
DAY 13 Overcast Hot Normal Weak Yes 314 42 3 4 14 56 4
DAY 14 Rain Mild High Strong No 14 9126 914 570 5
A YES B NO
P(C) = P(Class)
P(Yes) = 9/14 Yes No P(Yes) P(No)
P(No) = 5/14 Sunny 2 3 0,2 0,6
Overcast 4 0 0,4 0
Rainy 3 2 0,3 0,4
Total 9 5 100% 100%
Yes No P(Yes) P(No) Cara manual :
Hot 2 2 0,2 0,4 Pilihan YES
Mild 4 2 0,4 0,4 3/9 X 3/9 X 3/9 X 6/9 X 9/14 = 0.01587
Cool 3 1 0,3 0,2 -> CONVERT KE PERSENTASI
Total 9 5 100% 100%
Pilihan NO
Yes No P(Yes) P(No) 2/5 X 1/5 X 4/5 X 2/5 X 5/14 = 0.00914
Normal 6 1 0,7 0,2 -> CONVERT KE PERSENTASI
High 3 4 0,3 0,8
Total 9 5 100% 100%
Yes No P(Yes) P(No)
Weak 6 2 0,7 0,4
Strong 3 3 0,3 0,6
Total 9 5 100% 100%
P(Yes)/P(No)
Yes 9 0,64
No 5 0,36
Total 14 100%
Wind
Play
JAWABAN
X=(Outlook<=Rain, Temperature=Cool,
Humidity=High, Wind=Weak)
YES
1,587%
NO
0,914%
Outlook
Temperature
Humidity
1,587%
0,914%
x
->
x
->
x
->
x
->
=
=
=
=
0,333
0,333
0,667
0,333
x
x
x
=
->
=
0,200
=
0,800
=
->
=
0,400
1,587%
=
=
0,64
0,36
0,015873016
1,587%
0,009142857
0,914%
=
->
=
0,400
x
=
->

Partial preview of the text

Download Cara Perhitungan Naive Bayes and more Exercises Managerial Economics in PDF only on Docsity!

Nama : Ira Rahmawati (0181031144) 31A P(YES) 9 P(NO) 5 Tugas 3 TPK 14 14

Scenario Outlook Temperature Humidity Wind PlayTenis P(Outlook=Rainy, Play "Yes") P(Outlook=Rainy, Play "No") DAY 1 Sunny Hot High Weak No 3 14 42 3 2 14 28 2 DAY 2 Sunny Hot High Strong No 14 9 126 9 14 5 70 5 DAY 3 Overcast Hot High Weak Yes DAY 4 Rain Mild High Weak Yes P(Temperature=Cool, Play "Yes") P(Temperature=Cool, Play "No") DAY 5 Rain Cool Normal Weak Yes 3 14 42 3 1 14 14 1 DAY 6 Rain Cool Normal Strong No 14 9 126 9 14 5 70 5 DAY 7 Overcast Cool Normal Strong Yes DAY 8 Sunny Mild High Weak No P(Wind=Weak, Play "Yes") P(Wind=Weak, Play "No") DAY 9 Sunny Cool Normal Weak Yes (^6 14 84 6 2 14 28 ) DAY 10 Rain Mild Normal Weak Yes 14 9 126 9 14 5 70 5 DAY 11 Sunny Mild Normal Strong Yes DAY 12 Overcast Mild High Strong Yes P(Humadity=High, Play "Yes") P(Humadity=High, Play "No") DAY 13 Overcast Hot Normal Weak Yes 3 14 42 3 4 14 56 4 DAY 14 Rain Mild High Strong No 14 9 126 9 14 5 70 5

A YES B NO P(C) = P(Class) P(Yes) = 9/14 Yes No P(Yes) P(No) P(No) = 5/14 Sunny 2 3 0,2 0, Overcast 4 0 0,4 0 Rainy 3 2 0,3 0, Total 9 5 100% 100%

Yes No P(Yes) P(No) Cara manual : Hot 2 2 0,2 0,4 Pilihan YES Mild 4 2 0,4 0,4 3/9 X 3/9 X 3/9 X 6/9 X 9/14 = 0. Cool 3 1 0,3 0,2 -> CONVERT KE PERSENTASI Total 9 5 100% 100%

Pilihan NO Yes No P(Yes) P(No) 2/5 X 1/5 X 4/5 X 2/5 X 5/14 = 0. Normal 6 1 0,7 0,2 -> CONVERT KE PERSENTASI High 3 4 0,3 0, Total 9 5 100% 100%

Yes No P(Yes) P(No) Weak 6 2 0,7 0, Strong 3 3 0,3 0, Total 9 5 100% 100%

P(Yes)/P(No) Yes 9 0, No 5 0, Total 14 100%

Wind

Play

JAWABAN

X=(Outlook<=Rain, Temperature=Cool, Humidity=High, Wind=Weak)

YES 1,587%

NO

Outlook

Temperature

Humidity

x = ->

x = ->

x = ->

x = ->

x

x

x = -> = 0,

x = ->