Generally, an ensemble method works better, if the individual base models have . . . . . . . .?
Note: Suppose each individual base models have accuracy greater than 50%.
A. less correlation among predictions
B. high correlation among predictions
C. correlation does not have any impact on ensemble output
D. none of the above
Answer: Option A
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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