Supervised learning differs from unsupervised clustering in that supervised learning requires
A)at least one input attribute.
B)input attributes to be categorical.
C)at least one output attribute.
D)output attributes to be categorical.
Answer:B
Supervised learning differs from unsupervised clustering in that supervised learning requires
A)at least one input attribute. B)input attributes to be categorical. C)at least one output attribute. D)output attributes to be categorical.