def build_and_run_rvc(X_train_scaled, y_train, X_test_scaled, y_test):
'''
Takes: training and testing data
Returns: time to fit, time to predict, plus it prints
'''
# build RVC
rvc_model = RVC()
print("fitting RVM:")
start = time.time()
rvc_model.fit(X_train_scaled, y_train)
delta0 = time.time() - start
print("time to fit RVM: ", delta0)
start = time.time()
rvc_predict = rvc_model.predict(X_test_scaled)
delta1 = time.time() - start
print("time to predict with RVM: ", delta1)
# print parameters
print("RVM hyperparameters:")
print(rvc_model.get_params())
# evaluate RVC
print(helpers.confusion_matrix(y_test, rvc_predict))
print(classification_report(y_test, rvc_predict))
return delta0, delta1
