Random Forest
A random forest uses many decision trees. Each tree votes, and the answer with the most votes wins.
What it does
A random forest uses many decision trees. Each tree votes, and the answer with the most votes wins.
Ensemble: A team of models • Voting: Picking the common result
How it works
- Build many small decision trees.
- Let each tree look at a slightly different part of the data.
- Count the votes and choose the most popular answer.
Uses & Applications
- A movie app can combine many small guesses to recommend a movie.
- A bank can use many checks together to help spot risky transactions.
- A doctor’s tool can combine many clues to help sort scans for review.
In short
It is like asking many friends for advice. One friend may be wrong, but a big group vote is often better.
Try it yourself
Let a team of trees vote
Several decision trees each see a different fruit basket. Each tree votes apple or berry.
Your turn
Change one setting at a time. Reset example puts everything back.
Inspect the forest vote
Step 1Why this happens