Comparison of various classification algorithms on iris datasets using WEKA

Abstract

Classification is one of the most important task of data mining. Main task of data
mining is data analysis. For study purpose various algorithm available for classification like
decision tree, Navie Bayes, Back propagation, Neural Network, Artificial Neural, Multi-layer
perception, Multi class classification, Support vector Machine, k-nearest neighbor etc. In this
paper we introduce four algorithms from them. Study purpose we take iris.arff dataset.
Implement this all algorithm in iris dataset and compare TP-rate, Fp-rate, Precision, Recall and
ROC Curve parameter. Weka is inbuilt tools for data mining. So we used weka for
implementation.