CheatSheet: Random Forest in Python

AIM Media HouseContributor

Published 2020-10-14T05:30:00.000+05:30Updated 2024-12-30T05:30:00.000+05:30

Key takeaways

Random Forest is an ensemble algorithm that utilises multiple decision trees for predictions.
The algorithm selects trees from random subsets of training data to enhance accuracy.
Final predictions are determined by aggregating votes from individual decision trees.

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Random Forest is an ensemble tree-based algorithm. It consists of a set of decision trees that are randomly selected from a subset of the training data. The final class of the testing data point is selected on the basis of aggregate votes from other decision trees.

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