Machine Learning Classification Based on Radom Forest Algorithm: A Review Nasiba Mahdi Abdulkareem & Adnan Mohsin Abdulazeez

Machine Learning Classification Based on Radom Forest Algorithm: A Review

Author (s)

Nasiba Mahdi Abdulkareem & Adnan Mohsin Abdulazeez

Abstract

­Machine Learning is a significant technique to realize Artificial Intelligence. The Random Forest Algorithm can be considered as one of the Machine Learning’s representative algorithm, which is known for its simplicity and effectiveness. It is also can be defined as a Decision Tree-Based Classifier that chooses the best classification tree as the final classifier’s classification of the algorithm via voting. Random Forest is the most accepted group classification technique because of having excellent features such as Variable Importance Measure, Out-of-bag error, Proximities, etc. Currently, it is in the new classification, intrusion detection, content information filtering, and sentiment analysis that is why there is an extensive range of applications in image processing. In this paper, the construction process of Random Forests and the study status of Random Forests would primarily be introduced in terms of capacity enhancement and performance indicators. The use of Random Forest in different fields such as Medicine, Agriculture, Astronomy, etc. is often mentioned.

 Keywords: Machine Learning, Random Forest, Ensembles of Decision Tree, Classification.

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Title: Machine Learning Classification Based on Radom Forest Algorithm: A Review
Author: Nasiba Mahdi Abdulkareem & Adnan Mohsin Abdulazeez
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4471118
Media: Online
Volume: 5
Issue: 2
Acceptance Date: 24/01/2021
Date of Publication: 27/01/2021
PDF URL: https://ijsab.com/wp-content/uploads/676.pdf
Free download: Available
Page: 128-142
First Page: 128
Last Page: 142
Paper Type: Literature Review
Current Status: Published

 

Cite This Article:

Nasiba Mahdi Abdulkareem & Adnan Mohsin Abdulazeez (2021). Machine Learning Classification Based on Radom Forest Algorithm: A Review. International Journal of Science and Business, 5(2), 128-142. doi: https://doi.org/10.5281/zenodo.4471118

Retrieved from https://ijsab.com/wp-content/uploads/676.pdf

 

About Author (s)

Nasiba Mahdi Abdulkareem (corresponding author), Information Technology Department, Akre Technical College of Informatics, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq. E-mail: nasiba.mahdi@dpu.edu.krd

Professor Adnan Mohsin Abdulazeez, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq. E-mail: adnan.mohsin@dpu.edu.krd

 

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DOI: https://doi.org/10.5281/zenodo.4471118

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