What are hyperparameters in ML? Give examples.

Hyperparameters are settings in a machine learning model that you set before training and are not learned from data.

Examples:

• Neural Network: learning rate, number of layers

• Decision Tree: max depth, min samples per leaf

• KNN: number of neighbors (K)

• Random Forest: number of trees