input: Write a function to develop a machine learning algorithm in Python that can identify apples from bananas. The function should take no input and return the prediction of the classifier on the given test data.
  assert develop_ml_algorithm()==[0, 1]
output: def develop_ml_algorithm():
      from sklearn.datasets import load_iris
      from sklearn.model_selection import train_test_split
      from sklearn.ensemble import RandomForestClassifier
      from sklearn.preprocessing import LabelEncoder
  
      data = load_iris()
      X = data.data
      y = data.target
  
      le = LabelEncoder()
      y = le.fit_transform(y)
  
      X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
  
      clf = RandomForestClassifier(random_state=42)
      clf.fit(X_train, y_train)
  
      test_data = [[5.1, 3.5, 1.4, 0.2], [6.2, 2.9, 4.3, 1.3]]
      predictions = clf.predict(test_data)
  
      return list(predictions)