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Q. |
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 |
Answer» A. the process of selecting models among different mathematical models, which are used to describe the same data set |
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