We want to see what happens to the model with the choice of k. Please plot the train error and the test error versus the value of k.

21. (15p) Recall the example that we have solved in the lecture to nd the price of a house. We will do the same thing here, in the xam. I have a dataset of 10 houses given in the following ach observation has size as its feature and the output is the price. or example the first house's size is 45m2 and its price is 96TL. will use two models to make predictions. KNN with k=1 and KNN ith k=2. We will use ordinary KNN, i.e., we will take arithmetic nean and use Euclidian distances