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.
B. Regression model with a numeric target attribute.
C. Binary Classification with a categorical target attribute.
D. K-Nearest Neighbors model with a multi-class target attribute.
