Classification of Mushroom Data Set by Ensemble Methods

dc.contributor.author	Yildirim, Şahin
dc.contributor.author	Bingöl, Mehmet Safa
dc.date.accessioned	2021-06-30T06:23:15Z
dc.date.available	2021-06-30T06:23:15Z
dc.date.issued	2024-03-20
dc.description.abstract	Due to disease of mushrooms, it is very important to classify mushrooms for predicting the best quality mushrooms. There are many methods to analyse the main parts of mushrooms. For above mentioned descriptions; in this simulation study five types of classification algorithm are employed to predict the structure of mushrooms. Mushroom dataset is used to predict the classes of mushrooms. The results are improved that these methods will be used to predict exact mushrooms features and classifications in real time approaches.	hu
dc.format	application/pdf
dc.identifier.citation	Recent Innovations in Mechatronics, Vol. 7 No. 1 (2020) , 1-4.
dc.identifier.doi	https://doi.org/10.17667/riim.2020.1/3.
dc.identifier.eissn	2064-9622
dc.identifier.issue	1
dc.identifier.jtitle	Recent Innovations in Mechatronics
dc.identifier.uri	https://hdl.handle.net/2437/319802	en
dc.identifier.volume	7
dc.language	en
dc.relation	https://ojs.lib.unideb.hu/rIim/article/view/4901
dc.rights.access	Open Access
dc.rights.owner	by the authors
dc.subject	classification	hu
dc.subject	ensemble methods	hu
dc.subject	machine learning	hu
dc.subject	mushroom dataset	hu
dc.title	Classification of Mushroom Data Set by Ensemble Methods	en
dc.type	folyóiratcikk	hu
dc.type.detailed	idegen nyelvű folyóiratközlemény hazai lapban	hu

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