Chapter 17 Flashcards
1
Q
What are ensemble methods?
A
When the output of multiple models are combined to create better predictions.
2
Q
Overall principle of bagging:
A
model predictions are averaged.
3
Q
Principle of boosting:
A
Build specilaized models for hard to classify observations.
4
Q
What is majority voting?
A
Combining classifiers by choosing the class most models agree on.
