code: def test_plot(self):
      case1 = self.exp.model_performance("classification")
      case2 = self.exp2.model_performance("classification")
  
      self.assertIsInstance(
          case1, dx.model_explanations.ModelPerformance
      )
      self.assertIsInstance(
          case2, dx.model_explanations.ModelPerformance
      )
  
      fig1 = case1.plot(title="test1", show=False)
      fig2 = case2.plot(case1, show=False)
      fig3 = case1.plot(case2, geom="roc", show=False)
      fig4 = case2.plot(case1, geom="lift", show=False)
  
      self.assertIsInstance(fig1, Figure)
      self.assertIsInstance(fig2, Figure)
      self.assertIsInstance(fig3, Figure)
      self.assertIsInstance(fig4, Figure)
  
file_path: DALEX/python/dalex/test/test_model_performance.py
imports: import unittest
  import numpy
  import pandas
  from sklearn.compose import ColumnTransformer
  from sklearn.impute import SimpleImputer
  from sklearn.neural_network import MLPClassifier
  from sklearn.pipeline import Pipeline
  from sklearn.preprocessing import StandardScaler, LabelEncoder, OneHotEncoder
  import dalex
  from plotly.graph_objs import Figure
label_desc: Use image node_id 3 for calling the ModelPerformanceTestTitanic obj's underlying member method code with example usage: obj.test_plot() without return types