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Question 23 - BDS-C00 discussion

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A company is using Amazon Machine Learning as part of a medical software application. The application will predict the most likely blood type for a patient based on a variety of other clinical tests that are available when blood type knowledge is unavailable. What is the appropriate model choice and target attribute combination for this problem?

A.
Multi-class classification model with a categorical target attribute.
Answers
A.
Multi-class classification model with a categorical target attribute.
B.
Regression model with a numeric target attribute.
Answers
B.
Regression model with a numeric target attribute.
C.
Binary Classification with a categorical target attribute.
Answers
C.
Binary Classification with a categorical target attribute.
D.
K-Nearest Neighbors model with a multi-class target attribute.
Answers
D.
K-Nearest Neighbors model with a multi-class target attribute.
Suggested answer: A
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asked 16/09/2024
Antonio Pombo
36 questions
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