text: from data_etl import etl
  from sklearn.svm import SVC
  from sklearn.pipeline import make_pipeline
  from result_display import display
  
  X_train, X_test, y_train, y_test, vectorizer = etl.do_data_etl(using_test_dataset=False)
  
  svc_cl = SVC()
  pipeline = make_pipeline(vectorizer, svc_cl)
  pipeline.fit(X_train, y_train)
  y_predict = pipeline.predict(X_test)
  
  display.display_report(y_train, y_predict)