Yes. Since no ML model is perfect, we've added an option of Precision/Recall tradeoff that will determine the model's focus in minimizing specific types of mistakes. You can choose between Precision, which aims for highly accurate matches but may result in more false negatives, or Recall, which prioritizes finding as many true positives as possible, even if it means more false positives.