text: """Creates and compares classification models using sample clinical data.
  
  Please use this example to learn about healthcareai before moving on to the next example.
  
  If you have not installed healthcare.ai, refer to the instructions here:
    http://healthcareai-py.readthedocs.io
  
  To run this example:
    python3 example_classification_1.py
  
  This code uses the diabetes sample data in datasets/data/diabetes.csv.
  """
  import pandas as pd
  import healthcareai
  
  def main():
      
      # load model and make prediction
      trained_model = healthcareai.load_saved_model('2018-11-05T17-02-43_DecisionTreeClassifier.pkl', debug=True)
      print('trained_model')
      print(trained_model.features)
      # test model
      prediction_dataframe = pd.DataFrame({'Pregnancies': [1] ,'Glucose': [85], 'BloodPressure': [66], 'SkinThickness': [29], 'Insulin': [0], 'BMI': [26.6], 'DiabetesPedigreeFunction': [0.351], 'Age': [31]})
      # make prediction
      predictions = trained_model.make_predictions(prediction_dataframe)
      print('\n\n-------------------[ Predictions ]----------------------------------------------------\n')
      print(predictions.head())
  
  if __name__ == "__main__":
      main()
  