Question

(can have one or more correct)

Bootstrap aggregation can be used to construct a predictive model with components based on

1. only one naïve Bayes model

2. more than one naïve Bayes model

3. only one decision tree model

4. more than one decision tree model

5. only one stacked model

6. more than one stacked model

Answer 1

Bootstrap aggregation can be used to construct a predictive model with components based on

2. More than one naive Bayes model

4. More than one decision tree model

5. Only one stacked model

Bootstrap aggregation creates predictive models by combining Different predictive classifiers. The aggregation gives better predection result, leveraging the advantage of different models. Stacked model are itself a stack or say ensemble of Different models all together. Multiple stacked model can't be used for bootstrap aggregation.