input: Write a python function to train a RandomForestClassifier on the Iris dataset and return the accuracy.
  ```python
  from sklearn import datasets
  from sklearn.ensemble import RandomForestClassifier
  
  def train_random_forest():
      dataset = datasets.load_iris()
      model = RandomForestClassifier()
      model.fit(dataset.data, dataset.target)
      accuracy = model.score(dataset.data, dataset.target)
      return accuracy
  
  assert round(train_random_forest(), 2) >= 0.95
output: from sklearn import datasets
  from sklearn.ensemble import RandomForestClassifier
  
  def train_random_forest():
      dataset = datasets.load_iris()
      model = RandomForestClassifier()
      model.fit(dataset.data, dataset.target)
      accuracy = model.score(dataset.data, dataset.target)
      return accuracy