A. Using a typical Naïve Bayes Classifier, classify the following example [Bryan, 29, $50,000].     B. Provide the final probabilities -- DO NOT DISCRETIZE the data.   Please don't provide a python program as your answer.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question

5.

    A. Using a typical Naïve Bayes Classifier, classify the following example [Bryan, 29, $50,000].

    B. Provide the final probabilities -- DO NOT DISCRETIZE the data.

 

Please don't provide a python program as your answer.

The table below provides data on individuals, including their names, ages, salaries, and whether they are donors:

| Name  | Age | Salary | Donor? |
|-------|-----|--------|--------|
| Nancy | 21  | 37,000 | N      |
| Jim   | 27  | 41,000 | N      |
| Allen | 43  | 61,000 | Y      |
| Jane  | 38  | 55,000 | N      |
| Steve | 44  | 30,000 | N      |
| Peter | 51  | 56,000 | Y      |
| Sayani| 53  | 70,000 | Y      |
| Lata  | 56  | 74,000 | Y      |
| Mary  | 59  | 25,000 | N      |
| Victor| 61  | 68,000 | Y      |
| Dale  | 63  | 51,000 | Y      |

### Explanation

- **Name**: Lists the individuals involved in the study or survey.
- **Age**: Represents the age of each individual.
- **Salary**: Indicates the annual salary in dollars for each person.
- **Donor?**: Shows whether the individual is a donor, with "Y" for Yes and "N" for No. 

Overall, this table offers a straightforward look at the relationship between age, salary, and donor status among a small group of individuals.
Transcribed Image Text:The table below provides data on individuals, including their names, ages, salaries, and whether they are donors: | Name | Age | Salary | Donor? | |-------|-----|--------|--------| | Nancy | 21 | 37,000 | N | | Jim | 27 | 41,000 | N | | Allen | 43 | 61,000 | Y | | Jane | 38 | 55,000 | N | | Steve | 44 | 30,000 | N | | Peter | 51 | 56,000 | Y | | Sayani| 53 | 70,000 | Y | | Lata | 56 | 74,000 | Y | | Mary | 59 | 25,000 | N | | Victor| 61 | 68,000 | Y | | Dale | 63 | 51,000 | Y | ### Explanation - **Name**: Lists the individuals involved in the study or survey. - **Age**: Represents the age of each individual. - **Salary**: Indicates the annual salary in dollars for each person. - **Donor?**: Shows whether the individual is a donor, with "Y" for Yes and "N" for No. Overall, this table offers a straightforward look at the relationship between age, salary, and donor status among a small group of individuals.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps

Blurred answer
Similar questions
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman