Model Selection

Model Selection

Model Selection is a way to fit parameters such as

• learning rate $\alpha$ for Gradient Descent
• regularization term $\lambda$ for Regularization
• what degree of polynomial to use (see Cross-Validation#Cross-Validation)
• and so on

Criteria for Model Selection

• Cross-Validation

Sources

• Machine Learning (coursera)