text: from sklearn.svm import SVC, SVR
  
  
  def classify(x_train, x_test, y_train, y_test):
      clf = SVC(probability=True, random_state=123)
      probas_ = clf.fit(x_train, y_train).predict_proba(x_test)
      return probas_[:, 1]
  
  
  def predict(x_train, x_test, y_train,):
      clf = SVR()
      clf.fit(x_train, y_train)
      return(clf.predict(x_test))
  