What is Model Selection in Machine Learning?

• A. the process of selecting models among different mathematical models, which are used to describe the same data set
• B. when a statistical model describes random error or noise instead of underlying relationship
• C. find interesting directions in data and find novel observations/ database cleaning
• D. all above