Which of the following parameters can be tuned for finding good ensemble model in bagging based algorithms?
1. Max number of samples
2. Max features
3. Bootstrapping of samples
4. Bootstrapping of features

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