Machine Learning Decision Tree Classifier and Logistics Regression Model

Abstract

Machine learning is being used in several aspects and revolutionized the method of believing. It is branch of Artificial Intelligence that takes input data for training the models. In present paper we focus on widely used model of machine learning i.e. Decision tree classifier and Logistics Regression, additionally tracking their performance along with their accuracy. Machine learning is emerging notion in IoT environment as security of IoT devices are crucial due to their resource constrained properties.