What is the role of 'hyperparameters' in machine learning?

Quiz Options

• The final output of a model
• Parameters that cannot be learned from data and must be set before training begins
• The accuracy score of a model
• The input data itself

Explanation & Context

Hyperparameters are configuration variables used to control the learning process of an AI model, such as the learning rate or the number of layers in a neural network.