Which of the following is a reasonable way to select the number of principal components "k"?
A. choose k to be the smallest value so that at least 99% of the varinace is retained. - answer
B. choose k to be 99% of m (k = 0.99*m, rounded to the nearest integer).
C. choose k to be the largest value so that 99% of the variance is retained.
D. use the elbow method
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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