What is a model ensemble, and where can it be used analytically? 2. What are the different types of model ensembles? 3. Why are ensembles gaining popularity over all other machine-learning trends? 4. What is the difference between bagging- and boosting-type ensemble models? 5. What are the advantages and disadvantages of ensemble models?