text: # Create a svm Classifier
  clf = LogisticRegression()
  
  # Train the model using the training sets
  clf.fit(X_train, y_train)
  
  # Predict the response for test dataset
  y_pred = clf.predict(X_test)
  
  # Print the 3 main binary classification metrics
  print("Accuracy:",metrics.accuracy_score(y_test, y_pred))
  print("Precision:",metrics.precision_score(y_test, y_pred))
  print("Recall:",metrics.recall_score(y_test, y_pred))