Explain Random forest. What is gini impurity.

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Accepted Answer

Random forest is an ensemble learning method that constructs a multitude of decision trees and outputs the mode of the classes. Gini impurity is a measure of impurity or randomness used in decision trees.

Random forest is a collection of decision trees that are trained on different subsets of the data.
Each decision tree in the forest is trained on a random subset of the features.
The final prediction is made by taking the mode of the predictions of all the trees.
Gini impurity is a measure of how often a randomly chosen element from the set would be incorrectly labeled if it was randomly labeled according to the distribution of labels in the subset.
Gini impurity is used to determine the best split for a decision tree.

Explain Random forest. What is gini impurity.

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