Classification problems are distinguished from estimation problems in that
A. classification problems require the output attribute to be numeric.
B. classification problems require the output attribute to be categorical.
C. classification problems do not allow an output attribute.
D. classification problems are designed to predict future outcome.
Answer: Option C
This Question Belongs to Computer Science >> Machine Learning
In simple term, machine learning is
A. training based on historical data
B. prediction to answer a query
C. both A and B
D. automization of complex tasks
Which of the following is the best machine learning method?
A. scalable
B. accuracy
C. fast
D. all of the above
The output of training process in machine learning is
A. machine learning model
B. machine learning algorithm
C. null
D. accuracy
Application of machine learning methods to large databases is called
A. data mining.
B. artificial intelligence
C. big data computing
D. internet of things
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