Classification of IRIS Dataset using Weka
Authors: Kalpana Sharma, SD College, Rajhasthan
IRIS is an open access flower based dataset and is normally available on UCI dataset.
The major objective of this research work is to examine the IRIS data using data mining
techniques available supported in WEKA. In this work, four different classifier viz. Bayes
Network Classifier, J48, Random Forest and OneR has been succefully used to classify the
IRIS dataset. The dataset consist of five different attributes viz. sepallength, sepalwidth,
petallength, petalwidth and class. The number of instaces in 150.
Keywords: supervised learning techniques; marketing, healthcare, text processing,
agriculture and data mining.
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