Consider the following data sets comprising of 3 boolean input attributes and 1 boolean -output. Example A₁ A2 A3 output x1 1 0 0 0 X2 0 1 0 13 0 0 0 I4 1 X5 1 1 0 1 (a) Classify the following example using a naive Bayes classifier with Laplace 1 smooth- ing. x6 = (0, 1, 1, ?) 1 1
Consider the following data sets comprising of 3 boolean input attributes and 1 boolean -output. Example A₁ A2 A3 output x1 1 0 0 0 X2 0 1 0 13 0 0 0 I4 1 X5 1 1 0 1 (a) Classify the following example using a naive Bayes classifier with Laplace 1 smooth- ing. x6 = (0, 1, 1, ?) 1 1
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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Transcribed Image Text:Consider the following data sets comprising of 3 boolean input attributes and 1 boolean
output.
Example A₁ A₂ A3 output
I1
1
0
0
0
X2
0
1
0
I3
0
0
X4
1
1
Is
1
1 0
1
(a) Classify the following example using a naive Bayes classifier with Laplace 1 smooth-
ing.
T6 = (0, 1, 1, ?)
1
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