✅ Quiz M6.02

✅ Quiz M6.02#

Question

Select the correct statements:

  • a) Both bagging and boosting combine several predictors

  • b) Both bagging and boosting are based on decision trees

  • c) Boosting combines predictors sequentially

  • d) Bagging combines predictors simultaneously

Select all answers that apply

Question

Boosting algorithms learn their predictor:

  • a) by training predictors in parallel on slightly different datasets

  • b) by training predictors sequentially which correct previous prediction errors

  • c) by taking a linear combination of weak predictors

Select all answers that apply

Question

Histogram gradient boosting is an accelerated gradient boosting algorithm that:

  • a) takes a subsample of the original samples

  • b) bins the numerical features

  • c) takes a subsample of the original features

Select a single answer

Question

Boosting tends to overfit when increasing the number of predictors:

  • a) true

  • b) false

Select a single answer