The soft margin SVM is more preferred than the hard-margin SVM when-
A. the data is linearly seperable
B. the data is noisy and contains overlapping points
C. the data is not noisy and linearly seperable
D. the data is noisy and linearly seperable
Answer: Option B
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
Join The Discussion