What is a hyperparameter in machine learning?

A A parameter learned from training data by minimizing the loss function B A feature that has been scaled to a very large range compared to other features C A configuration value set before training that controls the learning process itself, such as learning rate or number of trees D A parameter that measures the performance of a model on the test set