text: # Load Library
  import numpy as np
  from sklearn.naive_bayes import GaussianNB
  
  smoke_density = np.array([[1.120], [2.256], [3.800], [0.768], [0.965], [0.362]])
  X = smoke_density
  Y = np.array(['FIRE', 'FIRE', 'FIRE', 'NOT FIRE', 'NOT FIRE', 'NOT FIRE'])
  clf = GaussianNB()
  clf.fit(X, Y)
  
  print(clf.predict([[0.1]]))
  print(clf.predict([[2.0]]))
  
  # ['NOT FIRE']
  # ['FIRE']
  