Please answer each part as they are related Thanks.Its a theory question so please don't use python 1. We have three binary input features for classifying output K. Show the formula!a11011000100110b01111000111101с11101001101011K11000110100000a. Based on data, find P(K=0), P(K-1), P(a=1 | K=0), P (b=1|K=0), P(c=1 | K=0), P(a=1 | K=1),P(b=1| K=1), P(c=1 | K=1).b. According to the "Naive Bayes classifier", what is P(K = 1|a = 1 and b = 1 and c = 0)c. According to the "Naive Bayes classifier", what is P(K = 0 a = 1 and b = 1)?d. According to the "Naive Bayes classifier", what is P(K = 0]a=0)? (5

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We have three binary input features for classifying output K. Show the formula!

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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Question

Please answer each part as they are related Thanks.Its a theory question so please don't use python

1. We have three binary input features for classifying output K. Show the formula!
a
1
1
0
1
1
0
0
0
1
0
0
1
1
0
b
0
1
1
1
1
0
0
0
1
1
1
1
0
1
с
1
1
1
0
1
0
0
1
1
0
1
0
1
1
K
1
1
0
0
0
1
1
0
1
0
0
0
0
0
a. Based on data, find P(K=0), P(K-1), P(a=1 | K=0), P (b=1|K=0), P(c=1 | K=0), P(a=1 | K=1),
P(b=1| K=1), P(c=1 | K=1).
b. According to the "Naive Bayes classifier", what is P(K = 1|a = 1 and b = 1 and c = 0)
c. According to the "Naive Bayes classifier", what is P(K = 0 a = 1 and b = 1)?
d. According to the "Naive Bayes classifier", what is P(K = 0]a=0)? (5

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