Question

Name the algorithm which makes predictions based on the outcomes of several decision trees.

• A. Classification algorithm
• B. K-means clustering
• C. Random Forest algorithm
• D. K-nearest neighbour algorithm

Hint:

Random Forest = Multiple decision trees combined for better predictions.

Answer 1

The Correct Option is C

The Random Forest algorithm is an ensemble learning method that builds multiple decision trees during training.
It combines the results from each decision tree to make a final prediction by averaging (for regression) or voting (for classification).
This approach helps improve accuracy and reduces the risk of overfitting compared to using a single decision tree.
Option (A), Classification algorithm, is a general category and not specific to decision trees.
Option (B), K-means clustering, is an unsupervised learning algorithm used for grouping data, not for decision trees.
Option (D), K-nearest neighbour algorithm, predicts based on the closest data points and does not use decision trees.
Hence, Random Forest algorithm is the correct answer.