Question: What technique does Random Forest use to create diverse trees?
Options:
Bagging
Boosting
Stacking
Clustering
Correct Answer: Bagging
Solution:
Random Forest uses bagging (Bootstrap Aggregating) to create diverse trees by training each tree on a random subset of the data.
What technique does Random Forest use to create diverse trees?
Practice Questions
Q1
What technique does Random Forest use to create diverse trees?
Bagging
Boosting
Stacking
Clustering
Questions & Step-by-Step Solutions
What technique does Random Forest use to create diverse trees?
Step 1: Random Forest takes the original dataset.
Step 2: It creates multiple random samples from this dataset. Each sample is created by selecting data points with replacement (this is called bootstrapping).
Step 3: For each random sample, a decision tree is built using only that sample of data.
Step 4: Each tree is trained on a different random sample, which helps to ensure that the trees are diverse.
Step 5: Finally, when making predictions, Random Forest combines the predictions from all the trees to improve accuracy.
No concepts available.
Soulshift Feedback×
On a scale of 0–10, how likely are you to recommend
The Soulshift Academy?
