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. | en |
| 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 | en |
| dc.subject | ensemble methods | en |
| dc.subject | machine learning | en |
| dc.subject | mushroom dataset | en |
| 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 | article | en |
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