PERFORM ON RAPID MINER STUDIO AND SHOW THE STEPS AND PASTE SCREENSHOTS

Data Set: Use Rapid Miner for performing K-mean and KNN on the given data set. Download the data set from the mentioned link. Dataset contains test.csv antrain.csv. Mobile Price Classification Kaggle Question 1: K-Mean: 1. Apply k-mean algorithm to create cluster. 2. Make predictions using test.csv and display mobile price range. 3. Find optimal number of clusters. KNN: 1. Apply KNN to classify mobile price range of test.csv file and display mobile price range (Use N=11 or higher). Compare the mobile price range you get from K-Mean and KNN. For comparison you can use accuracy score. Consider K-Means prediction as actual values and KNN as prediction and give percentage of accuracy