Beginner
Artificial Intelligence & Machine Learning
Q11 / 100
What is a Random Forest?
Correct! Well done.
Incorrect.
The correct answer is B) An ensemble method training multiple decision trees on random subsets of data and features, aggregating their predictions for better accuracy and robustness
B
Correct Answer
An ensemble method training multiple decision trees on random subsets of data and features, aggregating their predictions for better accuracy and robustness
Explanation
Random Forests use bagging (bootstrap aggregation) and random feature subsets, reducing overfitting of individual trees. Aggregation: majority vote (classification) or average (regression). Feature importance is a useful output.
Progress
11/100