What is true about an ensembled classifier?
1. Classifiers that are more "sure" can vote with more conviction
2. Classifiers can be more "sure" about a particular part of the space
3. Most of the times, it performs better than a single classifier

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