Q1. What is a Random Forest Algorithm in Machine learning?

Ans. Random Forest Algorithm is a supervised learning algorithm used for classification and regression tasks. It is based on ensemble learning, where multiple models are combined to produce a more accurate and stable prediction.

Q2. What are the uses of the Random Forest Algorithm?

Ans. Some of the major uses of the Random Forest algorithm in machine learning include classification, regression, and feature importance tasks.

Q3. What are the limitations of the Random Forest Algorithm?

Ans. Some of the major limitations of the Random Forest Algorithm is that it is computationally expensive, memory intensive, and is not easily interpretable.

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Random Forest Algorithm In Machine Learning

Random Forest Algorithm In Machine Learning

Random Forest Algorithm in Machine Learning

Data Science / By Ankit kumar

The Random Forest algorithm is an essential machine learning technique used for classification and regression tasks. It produces accurate and reliable results by combining multiple models together. Let us get an overview of the random forest algorithm in this article.

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