Problem 7: Machine Learning in Python [5 points] Complete the gaps in the following Python code, which is supposed to split the dataset into a training and test set, train a k-NN classifier, and evaluate its accuracy. data = Table. read_table("data. csv") = data . select("X1", "X2") . values = data . column("Y") X_train, X_test, y_train, y_test = train_test_split(X, y, train_size=0.7) knn_model = KNeighborsClassifier() knn_model . fit (X_train, y_predicted = knn_model. predict( accuracy = sum( ) / len(