Egap: An evolutionary game theoretic approach to random forest pruning

Khaled Fawagreh; Mohamed Medhat Gaber

doi:10.3390/bdcc4040037

Egap: An evolutionary game theoretic approach to random forest pruning

Khaled Fawagreh, Mohamed Medhat Gaber^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

5 Citations (SciVal)

Original language	English
Article number	37
Pages (from-to)	1-14
Number of pages	14
Journal	Big Data and Cognitive Computing
Volume	4
Issue number	4
DOIs	https://doi.org/10.3390/bdcc4040037
Publication status	Published (VoR) - Dec 2020

Keywords

Ensemble pruning
Machine learning
Random forests

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title = "Egap: An evolutionary game theoretic approach to random forest pruning",

keywords = "Ensemble pruning, Machine learning, Random forests",

author = "Khaled Fawagreh and Gaber, {Mohamed Medhat}",

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year = "2020",

month = dec,

doi = "10.3390/bdcc4040037",

language = "English",

volume = "4",

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journal = "Big Data and Cognitive Computing",

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KW - Ensemble pruning

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Egap: An evolutionary game theoretic approach to random forest pruning

Keywords

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