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Classification of Mushroom Data Set by Ensemble Methods
Published:
2024-03-20 — Updated on 2024-03-20
https://doi.org/10.17667/riim.2020.1/3.
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This work is licensed under a Creative Commons Attribution 4.0 International License.
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Yildirim, Şahin, & Bingöl, M. S. (2024). Classification of Mushroom Data Set by Ensemble Methods. Recent Innovations in Mechatronics, 7(1), 1-4. https://doi.org/10.17667/riim.2020.1/3.
Received 2020-02-25
Accepted 2020-10-12
Published 2024-03-20
Accepted 2020-10-12
Published 2024-03-20
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.
