• Ms D USHA RANI

Abstract : Mushrooms are used in the medical field to cure diseases like anemia, increase body immunity, diabetes, and cancer treatment. Some of the mushroom varieties are edible, but others are highly poisonous. The identification of mushrooms whether edible or poisonous is a difficult process because of the large number of mushrooms have similar characteristics. The principle of this paper is to classify the mushrooms by using Machine learning classification algorithms through a data mining tool. For the best classification, five classification algorithms were compared. The results showed that JRip classification is the best based on the difference between before and after applying data reduction in time taken.

Keywords: Data Mining, Classification, Data Pre-processing, Data Reduction, CFS subset evaluation, JRip, Decision Table, SGD, SMO, Logistic Regression

"Mushroom Classification: A Comparison of Classification Algorithms using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.a54-a58, August-2022, Available :http://www.jetir.org/papers/JETIR2208007.pdf

"Mushroom Classification: A Comparison of Classification Algorithms using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. ppa54-a58, August-2022, Available at : http://www.jetir.org/papers/JETIR2208007.pdf