R Code, please provide the necessary code based off of the provided lab/assignment.

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Submit: the screenshot of the confusion matrix when K=3 when KNN is applied to the Caravan dataset. K-Nearest Neighbors We will now perform KNN using the knn() function, which is part of the class library. This function works rather differently from the other moderfitting functions that we have encourtered thus far. Rather tharl a two-step approach in which we first fit the model and then we use the model to make predictions, knn() forms predictions using a single command. The function requires four inputs. - A matrix containing the predictors associated with the training data, labeled tratn.x below - A matrix containing the predictors associated with the data for which we wish to make predictions, labeled test. x below. - A vector containing the class labels for the training observations, labeled train.Direction helow. - A value for K, the number of nearest neighbors to be used by the classifier. We use the cbind() function, short for column oind, to bind the lagone and legtwo variables together into two matrices, one for the training set and the other for the test set. 11brary(class)train.x