ClassificationAlgorithm_for_IRIS_Dataset
Classification is one of the most important task of Machine Learning. Main task of machine learning 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 Three algorithms from them (Decision Tree, Support vector Machine, Apriori algorithm). Study purpose we take iris.arff dataset. Implement this all algorithm in iris dataset and compare between them. Weka is inbuilt tools for machine learning. So we used WEKA for implementation.
