βœ… Quiz M6.03ΒΆ

Question

Boosting algorithms are building a predictor:

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

  • b) by training predictors sequentially which will correct errors successively

  • c) by taking a linear combination of weak predictors

Question

Histogram gradient boosting is an accelerated gradient boosting algorithm that:

  • a) takes a subsample of the original samples

  • b) bin the original dataset

  • c) take a subsample of the original features

Question

AdaBoost tends to overfit when increasing the number of predictors:

  • a) true

  • b) false

  • c) it depends on the data