input: Write a python function to classify the sentiment of a given sentence using VADER sentiment analysis.
  assert classifySentence("I love this product!") == "Positive"
  assert classifySentence("This is the worst experience I've ever had.") == "Negative"
  assert classifySentence("It's okay, not great but not bad either.") == "Neutral"
output: def classifySentence(sentence):
      from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
  
      analyzer = SentimentIntensityAnalyzer()
      sentiment_dict = analyzer.polarity_scores(sentence)
      
      if sentiment_dict['compound'] >= 0.05:
          return "Positive"
      elif sentiment_dict['compound'] <= -0.05:
          return "Negative"
      else:
          return "Neutral"