Comparative study on classification techniques through IRIS Data Analysis

Many classification techniques are implemented on different datasets in Machine Learning. This paper gives an idea on different classification techniques implementation and comparison with example an Iris Species Dataset. First dataset is preprocessed and categorized into two parts training set and test set then techniques like Decision Tree, Gaussian NB, Logistic Regression and Random Forest are used. Finally, accuracy of different techniques is compared