1.What is model selection in machine learning?

2.Why is model selection important in machine learning?

3.In machine learning, what does a learning algorithm do?

4.What is overfitting in machine learning?

5.What is the bias-variance tradeoff ?

6.When does high bias occur in a machine learning model?

7.What is regularization in machine learning?

8.What are hyperparameters in a machine learning model?

9.Why is model evaluation important in machine learning?

10.What is cross-validation used for in machine learning?