Yildirim, ŞahinBingöl, Mehmet Safa2021-06-302021-06-302024-03-20Recent Innovations in Mechatronics, Vol. 7 No. 1 (2020) , 1-4.https://hdl.handle.net/2437/319802Due 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.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.application/pdfclassificationensemble methodsmachine learningmushroom datasetclassificationensemble methodsmachine learningmushroom datasetfolyóiratcikkOpen Accessby the authorshttps://doi.org/10.17667/riim.2020.1/3.Recent Innovations in Mechatronics172064-9622