Journal of Engineering and Applied Sciences

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Implementation of Random Forest Machine Learning Algorithm

R. Roshen Sarma, Rajath R Joshi, R. Prashanth, Syed Wajahath and Sharmila Chidaravalli
Page: 5603-5608 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

This is aimed to implement Random Forest (RF) classification machine learning algorithm performance and investigate its properties. Implementation and all experiments are done in R environment using the Kaggle Dataset-Titanic: machine learning from disaster. Variable importance is estimated for the dataset using this method. Finally, variable selection using importance ranks influence on RF classification rates is analyzed.

How to cite this article:

R. Roshen Sarma, Rajath R Joshi, R. Prashanth, Syed Wajahath and Sharmila Chidaravalli. Implementation of Random Forest Machine Learning Algorithm.
DOI: https://doi.org/10.36478/jeasci.2017.5603.5608
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2017.5603.5608