A classification approach to identify the species of flower using KNN model of Machine Learning

Abstract

Identification of species of flowers are essential in day to day life, as flowers play important in today's Medical Science. They are used in many of the diseases curing processes. This paper focuses on IRIS flower classification using Machine Learning. Here the problem concerns the identification of IRIS flower species based on flower attribute measurements. Classification of IRIS data set would be discovering patterns from examining petal and sepal size of the IRIS flower and how the prediction was made from analyzing the pattern to from the class of IRIS flower. In this paper we train the machine learning model with data and when unseen data is discovered the predictive model predicts the species using what it has been learned from the trained data.