..... is a widely used and effective machine learning algorithm based on the idea of bagging.

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

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Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]

____ is a widely used and effective machine learning algorithm based on the idea of bagging.

A	Regression
B	Classification
C	Random forest
D	decision tree

Explanation:

Detailed explanation-1: -Which of the following is a widely used and effective machine learning algorithm based on the idea of bagging? Explanation: The Radom Forest algorithm builds an ensemble of Decision Trees, mostly trained with the bagging method.

Detailed explanation-2: -Decision Tree Decision Tree algorithm in machine learning is one of the most popular algorithm in use today; this is a supervised learning algorithm that is used for classifying problems.

Detailed explanation-3: -Bagging, also known as Bootstrap Aggregation, is the ensemble technique used by random forest.Bagging chooses a random sample/random subset from the entire data set. Hence each model is generated from the samples (Bootstrap Samples) provided by the Original Data with replacement known as row sampling.

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