What is the naive assumption in a Naive Bayes Classifier.
A. all the classes are independent of each other
B. all the features of a class are independent of each other
C. the most probable feature for a class is the most important feature to be cinsidered for classification
D. all the features of a class are conditionally dependent on each other
Answer: Option D
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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