code: def test_multiclass_predict_on_unseen(iris_dataframe):
      exp = pycaret.classification.ClassificationExperiment()
      # init setup
      exp.setup(
          iris_dataframe,
          target="species",
          log_experiment=True,
          html=False,
          session_id=123,
          n_jobs=1,
      )
      model = exp.create_model("dt", cross_validation=False)
  
      # save model
      exp.save_model(model, "best_model_23122019")
  
      exp = pycaret.classification.ClassificationExperiment()
      # load model
      model = exp.load_model("best_model_23122019")
      exp.predict_model(model, iris_dataframe)
  
imports: import pandas
  import pytest
  import pycaret.classification
  import pycaret.datasets
label_desc: Use image node_id 3 for calling a global function with example usage: test_multiclass_predict_on_unseen(iris_dataframe) without return types