📊 Machine Learning
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) Interference
  • (C) Find interesting directions in data and find novel observations/ database cleaning
  • (D) All above
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✅ Correct Answer: (A) The process of selecting models among different mathematical models, which are used to describe the same data set

Explanation: Model selection in machine learning refers to the process of choosing the most appropriate model or algorithm from a set of candidate models to make predictions or capture relationships within a given dataset.

Explanation by: Mr. Dubey
Model selection in machine learning refers to the process of choosing the most appropriate model or algorithm from a set of candidate models to make predictions or capture relationships within a given dataset.

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