Please complete this assignment in Matlab

Part I Single Feature 1. Create a matlab script that will perform each of the steps required for this exercise. 2. Load partoneData.mat into the matiab environment (previously used for assignment one). 3. Generate a random partition of the data, splitting each of the classes into 60% training and 40% testing Using only the training data, classify each of the test samples using the K-Nearest Neighbor Classifier. Use the Euclidean Distance as the distance metric. Print out the total prediction accuracy using the fprintf commands. a. b. c. 4. Repeat step 3, with k-(3, 7, 15) Part I Single Feature 1. Create a matlab script that will perform each of the steps required for this exercise. 2. Load partoneData.mat into the matiab environment (previously used for assignment one). 3. Generate a random partition of the data, splitting each of the classes into 60% training and 40% testing Using only the training data, classify each of the test samples using the K-Nearest Neighbor Classifier. Use the Euclidean Distance as the distance metric. Print out the total prediction accuracy using the fprintf commands. a. b. c. 4. Repeat step 3, with k-(3, 7, 15)