Exercise 4. Naïve Bayes for data with nominal attributes Given the training data in the table below (Buy Computer data), predict the class of the following new example using Naïve Bayes classification: age<-30, income-medium, student-yes, credit-rating-fair RID age income student credit_rating Class: buys computer fair high high high 1 <=30 no no <=30 excellent no no 31...40 no fair yes 4. >40 medium no fair yes >40 low yes fair yes low excellent no 6. >40 yes 31...40 low yes excellent yes <=30 medium fair no 8 no 9. <=30 low yes fair yes 10 >40 medium yes fair yes <=30 medium yes excellent yes 11 medium excellent yes 12 31...40 no fair yes 13 31...40 high yes medium excellent no 14 >40 no

Exercise 4. Naïve Bayes for data with nominal attributes Given the training data in the table below (Buy Computer data), predict the class of the following new example using Naïve Bayes classification: age<-30, income-medium, student-yes, credit-rating-fair RID age income student credit_rating Class: buys computer fair high high high 1 <=30 no no <=30 excellent no no 31...40 no fair yes 4. >40 medium no fair yes >40 low yes fair yes low excellent no 6. >40 yes 31...40 low yes excellent yes <=30 medium fair no 8 no 9. <=30 low yes fair yes 10 >40 medium yes fair yes <=30 medium yes excellent yes 11 medium excellent yes 12 31...40 no fair yes 13 31...40 high yes medium excellent no 14 >40 no

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Concept explainers

Intermediate SQL Concepts

A query is a request for data or information from one or more database tables. This information could be presented in the form of pictorials, graphs, or complicated findings which helps in easy interpretation. Structured Query Language (SQL) is the most widely used programming language for retrieving and organizing data from relational databases. Collection of tables with rows and columns is referred to as a database. SQL is the language of databases. It makes it easier to extract specific data from databases, which can then be used for analysis.

Question

Write a report with the data below (Buy computer data)?

Exercise 4. Naive Bayes for data with nominal attributes
Given the training data in the table below (Buy Computer data), predict the class of the following new
example using Naïve Bayes classification: age<=30, income-medium, student-yes, credit-rating-fair
RID
age
income
student
credit_rating
Class: buys computer
fair
high
high
high
1
<=30
no
no
<=30
excellent
no
no
3
31...40
fair
yes
no
>40
medium
fair
yes
4
no
>40
low
yes
fair
yes
6.
>40
low
yes
excellent
no
31...40
low
yes
excellent
yes
<=30
medium
no
fair
no
<=30
low
yes
fair
yes
10
>40
medium
yes
fair
yes
11
<=30
medium
yes
excellent
yes
31...40
medium
excellent
yes
no
12
31...40
high
yes
fair
yes
13
medium
excellent
no
14
>40
no
ercises Classifica.pdf

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