ML pipeline · Question 5 of 12
What are hyperparameters?
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Answer
- D Settings fixed before training
Explanation
Hyperparameters control training, such as learning rate, number of epochs or depth of a tree. They are set in advance and not learned from the data. Weights, by contrast, are parameters the model adjusts itself during training.