text: # Import statements 
  from sklearn.svm import SVC
  from sklearn.metrics import accuracy_score
  import pandas as pd
  import numpy as np
  
  # Read the data.
  data = np.asarray(pd.read_csv('data.csv', header=None))
  # Assign the features to the variable X, and the labels to the variable y. 
  X = data[:,0:2]
  y = data[:,2]
  
  # TODO: Create the model and assign it to the variable model.
  # Find the right parameters for this model to achieve 100% accuracy on the dataset.
  model = None
  
  # TODO: Fit the model.
  
  # TODO: Make predictions. Store them in the variable y_pred.
  y_pred = None
  
  # TODO: Calculate the accuracy and assign it to the variable acc.
  acc = None
  