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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2022-07-01
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Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-1041.pdf |