The SVC clаss frоm scikit-leаrn hаs already been impоrted. Assume that X_train, X_test, y_train, and y_test have already been created and cоntain the training and testing datasets. Write Python code that: Creates a Support Vector Machine (SVM) classifier with a linear kernel and C = 1, storing it in a variable named model. Trains the model using the training data. Predicts the class labels for the testing data and stores the predictions in a variable named y_pred. Hint: A complete solution can be written in approximately 3 lines of code, but you may use more or less lines.