Hello, I guess there is an issue in this question can you check ? I’m waiting for your comment before running my last attempt.
Thank you !
Nicolas
Hello! I don’t think there is an issue, but maybe I can refer you to the Glossary where we define hyperparameters as:
Aspects of model configuration that are not learnt from data and that impact the generalization and computational performance of a model. Examples of hyperparameters:
- for a k-nearest neighbor approach, the number of neighbors to use is a hyperparameter
- for a polynomial model (say of degree between 1 and 10 for example), the degree of the polynomial is a hyperparameter.
Indeed, hyperparameters of a model are usually inspected with regard to their impact on the model performance and tuned to maximize model performance (usually generalization performance ).
For more details, you can further read the following post.
Hello! It was quite confusing how in the chapter it was said “In this notebook we will use the words “hyperparameters” and “parameters” interchangeably.” and then in the quiz they are not used as a synonym anymore regarding the verbose parameter. Maybe an additional explanation before the question would be useful.
1 Like
We will revisit this question for the next session of the MOOC.