Classification using K-Nearest Neighbor You have to download labeled data set from UCI Machine Learning website...

 

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Classification using K-Nearest Neighbor You have to download labeled data set from UCI Machine Learning website and perform its classification using KNN (in Python). You have to do the following • Preparation of data set . o Perform normalization where required. o Divide the data into training and test set (for example 80/20 ratio) Have to perform KNN classification using following o You have to use all similarity measures studied so far one by one o In first step, you have to change values of K and different similarity measures one by one and present the accuracies achieved in test data set graphically against each K. o In this way, you have to find the best value of K and similarity measure for classification problem you have chosen. • Submission requirement o You have to submit python code o Short report containing code, experiments and their analysis Classification using K-Nearest Neighbor You have to download labeled data set from UCI Machine Learning website and perform its classification using KNN (in Python). You have to do the following • Preparation of data set . o Perform normalization where required. o Divide the data into training and test set (for example 80/20 ratio) Have to perform KNN classification using following o You have to use all similarity measures studied so far one by one o In first step, you have to change values of K and different similarity measures one by one and present the accuracies achieved in test data set graphically against each K. o In this way, you have to find the best value of K and similarity measure for classification problem you have chosen. • Submission requirement o You have to submit python code o Short report containing code, experiments and their analysis

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