The accuracy of Random Forest performance can be improved by conducting a feature selection with a balancing strategy

The accuracy of Random Forest performance can be improved by conducting a feature selection with a balancing strategy

One of the significant purposes of building a model is to increase its accuracy within a shorter timeframe through the feature selection process. It is carried out by determining the importance of available features in a dataset using Information Gain (IG). The process is used to calculate the amoun...

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Bibliographic Details
Main Authors: Maria Irmina Prasetiyowati, Nur Ulfa Maulidevi, Kridanto Surendro
Format: Article
Language:English
Published: PeerJ Inc. 2022-07-01
Series:PeerJ Computer Science
Subjects:
Information Gain
SMOTE
FFT
Accuracy
Imbalance
Online Access:https://peerj.com/articles/cs-1041.pdf

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