✅ Quiz M6.03

✅ Quiz M6.03#

Question

When compared to random forests, gradient boosting is usually trained using:

  • a) shallower trees

  • b) deeper trees

  • c) a subset of features

  • d) all features

Select all answers that apply

Question

Which of the hyperparameter(s) do not exist in random forest but exists in gradient boosting:

  • a) number of estimators

  • b) maximum depth

  • c) learning rate

Select all answers that apply

Question

Which of the following options are correct about the benefits of ensemble models?

  • a) Better generalization performance

  • b) Reduced sensitivity to hyperparameter tuning of individual predictors

  • c) Better interpretability

Select all answers that apply