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Databricks Exam Databricks-Machine-Learning-Associate Topic 3 Question 9 Discussion
Actual exam question for
Databricks's
Databricks-Machine-Learning-Associate exam
Question #: 9
Topic #: 3
[All Databricks-Machine-Learning-Associate Questions]
Topic #: 3
Which of the following machine learning algorithms typically uses bagging?
Suggested Answer:
C
Random Forest is a machine learning algorithm that typically uses bagging (Bootstrap Aggregating). Bagging is a technique that involves training multiple base models (such as decision trees) on different subsets of the data and then combining their predictions to improve overall model performance. Each subset is created by randomly sampling with replacement from the original dataset. The Random Forest algorithm builds multiple decision trees and merges them to get a more accurate and stable prediction.
Databricks documentation on Random Forest: Random Forest in Spark ML
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