input: Write a python function to classify given weight and size using a RandomForestClassifier.
  assert classify_fruit(150, 7) == 'Apple'
  assert classify_fruit(200, 8) == 'Orange'
  assert classify_fruit(180, 6) == 'Banana'
output: def classify_fruit(weight, size):
      from sklearn.ensemble import RandomForestClassifier
      import numpy as np
  
      # Example data (weight, size): Apple, Orange, Banana
      X = np.array([
          [150, 7], [160, 7], [140, 7],
          [200, 8], [210, 8], [190, 8],
          [180, 6], [170, 6], [160, 6]
      ])
      y = np.array(['Apple', 'Apple', 'Apple', 'Orange', 'Orange', 'Orange', 'Banana', 'Banana', 'Banana'])
  
      clf = RandomForestClassifier()
      clf.fit(X, y)
  
      return clf.predict([[weight, size]])[0]