age income gender y 0 >= 40 > 75 М 1 1 < 40 50-75 F 1 2 < 40 < 50 M 0 3 >= 40 50-75 F 1 4 >= 40 50-75 м 1 < 40 < 50 FO 6 >= 40 50-75 M O 7 < 40 50-75 F 1 8 >= 40 50-75 M 0
age income gender y 0 >= 40 > 75 М 1 1 < 40 50-75 F 1 2 < 40 < 50 M 0 3 >= 40 50-75 F 1 4 >= 40 50-75 м 1 < 40 < 50 FO 6 >= 40 50-75 M O 7 < 40 50-75 F 1 8 >= 40 50-75 M 0
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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In python please
![Dut [7]:
age income gender y
0 >= 40
> 75
M 1
1
< 40
50-75
F 1
2
< 40
< 50
м о
3
>= 40
50-75
F 1
4
>= 40
50-75
м 1
< 40
< 50
F 0
6 >= 40
50-75
м о
7
< 40
50-75
1
8 >= 40
50-75
M 0
< 40
> 75
F 1
1. Write a function called get_single_likelihood which implements the calculation of P(X; = x|Y = y). Given a feature name, a value of that feature,
an outcome value (either 0 or 1), and a data frame, calculate the probability that, given that outcome, the named feature will equal the given value.
Example: the call get_single_likelihood ('gender', 'F', 1, df) should return the probability that, among applicants
whom y -- 1, their
gender attribute is F](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6d1256f1-0052-4f40-b033-bac081cc59e6%2F29290ba5-1b7b-4d13-8dba-0b9f68df3e00%2Fxegdqgj_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Dut [7]:
age income gender y
0 >= 40
> 75
M 1
1
< 40
50-75
F 1
2
< 40
< 50
м о
3
>= 40
50-75
F 1
4
>= 40
50-75
м 1
< 40
< 50
F 0
6 >= 40
50-75
м о
7
< 40
50-75
1
8 >= 40
50-75
M 0
< 40
> 75
F 1
1. Write a function called get_single_likelihood which implements the calculation of P(X; = x|Y = y). Given a feature name, a value of that feature,
an outcome value (either 0 or 1), and a data frame, calculate the probability that, given that outcome, the named feature will equal the given value.
Example: the call get_single_likelihood ('gender', 'F', 1, df) should return the probability that, among applicants
whom y -- 1, their
gender attribute is F
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