Question: Using Naive Bayes classification method (m-estimate of probability), classify the testing data and calculate Accuracy, Precision, and Recall from confusion matrix. Training Dataset Target Attribute Income Student Credit Buys computer high high Age P1 <- 30 fair no no P2 <-30 excellent no no P3 31...40 high fair no yes P4 >40 medium fair no yes P5 >40 low yes fair yes P6 >40 low yes excellent no P7 31...40 low yes excellent yes P8 <-30 medium no fair no P9 <-30 low fair Yes ves
Question: Using Naive Bayes classification method (m-estimate of probability), classify the testing data and calculate Accuracy, Precision, and Recall from confusion matrix. Training Dataset Target Attribute Income Student Credit Buys computer high high Age P1 <- 30 fair no no P2 <-30 excellent no no P3 31...40 high fair no yes P4 >40 medium fair no yes P5 >40 low yes fair yes P6 >40 low yes excellent no P7 31...40 low yes excellent yes P8 <-30 medium no fair no P9 <-30 low fair Yes ves
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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Transcribed Image Text:Question: Using Naive Bayes classification method (m-estimate of probability), classify the testing data and
calculate Accuracy, Precision, and Recall from confusion matrix.
Training Dataset
Target Attribute
Age Income Student Credit Buys computer
high
high
high
P1
<=30
no
fair
no
P2
<= 30
excellent
no
no
P3
31...40
fair
yes
no
P4
>40
medium
fair
yes
no
P5
fair
>40
low
yes
yes
P6
>40
low
yes
excellent
no
P7
31..40
low
yes
excellent
yes
P8
<- 30 medium
fair
no
no
P9
<= 30
low
yes
fair
yes
P10
>40
medium
yes
fair
yes
<= 30 medium
31...40 medium
P11
yes
excellent
yes
P12
excellent
yes
no
P13
31...40
high
yes
fair
yes
P14
>40
medium
excellent
no
no
Testing Data:
Age
<=30
Buys computer
Income
Student
Credit
R1
High
yes
fair
yes
R2
<=30
Low
no
excellent
no
R3
31.40
medium
no
fair
no
R4
31..40
low
yes
excellent
yes
R5
>40
low
no
fair
no
R6
>40
high
yes
excellent
yes
Subject: Machine Learning
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