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.

Name Age Salary Donor Nancy 21 37000 N Jim 27 41000 N Allen 43 61000 Y Jane 38 55000 N…

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.

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

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Question

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.

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