Determine the best feature used to get maximum accuracy.

Write a k-Nearest Neighbor algorithm to classify the Iris data-set. Write both correct and wrong predictions. Write the best ML library that can be used for this problem. Link for Iris Data-set: https://archive.ics.uci.edu/ml/datasets/irisWrite a two page case study with the below details:Description of attributes of the given data-set.Determine the best feature used to get maximum accuracy.Design an algorithm for the given problem in case-study.Write the description of Machine Learning technique specified in case-study and explain its various types of applications.List the libraries used in the case study.