Each Friday before sleep, Ethan decides whether to play tennis tomorrow. His decision is based on the features summarizing the weather and his amount of exercise in the past five days. The features are: • The number of hot days (H). • The number of windy days (W). • The number of days Ethan goes to the gym (G). All features have integer values from 0 to 5. Let's assume these values are sampled from binomial distribu- tions. Here are our observations: H W G Play (P) 4 No 4 2 Yes 1 4 No 3 1 Yes (a) Suppose we want to predict whether Ethan will play or not, given the features. What is the assumption of the Naive Bayes model in this context? (b) What is the probability that Ethan will play given H = 0, W = 4, and G = 2.
Each Friday before sleep, Ethan decides whether to play tennis tomorrow. His decision is based on the features summarizing the weather and his amount of exercise in the past five days. The features are: • The number of hot days (H). • The number of windy days (W). • The number of days Ethan goes to the gym (G). All features have integer values from 0 to 5. Let's assume these values are sampled from binomial distribu- tions. Here are our observations: H W G Play (P) 4 No 4 2 Yes 1 4 No 3 1 Yes (a) Suppose we want to predict whether Ethan will play or not, given the features. What is the assumption of the Naive Bayes model in this context? (b) What is the probability that Ethan will play given H = 0, W = 4, and G = 2.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter1: Expressions And Functions
Section1.2: Order Of Operations
Problem 38PPS
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Naive Bayes
Each Friday before sleep, Ethan decides whether to play tennis tomorrow. His decision is based on the
features summarizing the weather and his amount of exercise in the past five days. The features are:
• The number of hot days (H).
• The number of windy days (W).
• The number of days Ethan goes to the gym (G).
All features have integer values from 0 to 5. Let's assume these values are sampled from binomial distribu-
tions. Here are our observations:
H
W
G
Play (P)
4
No
4
2
Yes
1
4
No
3
1
Yes
(a) Suppose we want to predict whether Ethan will play or not, given the features. What is the assumption
of the Naive Bayes model in this context?
(b) What is the probability that Ethan will play given H = 0, W = 4, and G = 2.
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