text: Title: AttributeError: 'LogisticRegression' object has no attribute 'classes'
  Body: Hi everyone, that's my first help request, so I'm sorry if I do something wrong; so:
  
  **Description**
  I used for evaluate the classification models the classification_report class and it worked until I setted up `imblearn`(I don't think that it change something but, it happen when I set up that), now when i run the program I had the error 
  
  
  `AttributeError: 'LogisticRegression' object has no attribute 'classes'`
  
  
  That's the "core" of the code called into question:
  
  ```
  X_train, X_test, y_train, y_test = train_test_split(features, labels,test_size=0.25,shuffle=True, random_state = 0)
  from sklearn.linear_model import LogisticRegression
  logisticRegr = LogisticRegression(random_state=0)
  
  from yellowbrick.classifier import ClassificationReport
  visualizer = ClassificationReport(logisticRegr)
  visualizer.fit(X_train, y_train)  # Fit the visualizer and the model
  visualizer.score(X_test, y_test)  # Evaluate the model on the test data
  visualizer.show()             # Draw/show the data
  ```
  someone can help me to fix that?
  Thank you
  
  **Versions**
  scikit-learn 0.24.1
  yellowbrick 1.2
  python 3.7
  Environment Anaconda 1.9.12
  
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