StackedML
Practice
Labs
Questions
Models
Pricing
Sign in
Questions
/
Optimization
/
Hyperparameter Tuning
/
Hyperparameter tuning
← Previous
Next →
186.
Definition of Hyperparameter
easy
What is a hyperparameter in machine learning?
A
A parameter learned during training by minimizing the loss function on the training dataset
B
A parameter that measures model performance on the validation set and is updated during evaluation
C
A parameter set before training that controls the learning process rather than being learned from data
D
A parameter that controls the architecture of the model and is fixed permanently after the first training run
Sign in to verify your answer
← Back to Questions