Classification and Analysis of Mushrooms with Machine Learning and Data Mining

Author(s)	Mr. Pravesh Kumar, Dr. Rohitashwa Pandey
Country	India
Abstract	It is advised that we consume mushrooms as part of our diet because they are rich in essential nutrients, proteins, minerals, and vitamins. Due to their comparable qualities and abundance, it can be difficult to distinguish between edible and dangerous mushrooms. Data mining methods, specifically classification, can be used to identify the type of mushrooms by helping to uncover crucial patterns from millions or even billions of data records. Existing research on mushroom classification focuses on applying ML techniques separately, and certain algorithms perform better in terms of accuracy than others. There is a paucity of research on mushroom classification. Based on this research, an integrated model was suggested, which would merge the decisions produced by the most accurate techniques into a single decision rather than treating them independently.
Keywords	Machine Learning, KNN, Random Forest (RF)
Discipline	Computer > AI / ML
Published In	Volume 4, Issue 5, September-October 2026
Published On	2026-10-29

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Advanced International Journal of Multidisciplinary Research