code: def test_simple(self):
      training_features = [
          ({"nice": True, "good": True}, "positive"),
          ({"bad": True, "mean": True}, "negative"),
      ]
  
      classifier = NaiveBayesClassifier.train(training_features)
  
      result = classifier.prob_classify({"nice": True})
      self.assertTrue(result.prob("positive") > result.prob("negative"))
      self.assertEqual(result.max(), "positive")
  
      result = classifier.prob_classify({"bad": True})
      self.assertTrue(result.prob("positive") < result.prob("negative"))
      self.assertEqual(result.max(), "negative")
  
imports: import unittest
  from nltk.classify.naivebayes import NaiveBayesClassifier
label_desc: Use image node_id 1 for calling the NaiveBayesClassifierTest obj's underlying member method code with example usage: obj.test_simple() without return types