Which of the following is a key advantage of decision trees in machine learning, as described in the lecture?单项选择题

Decision trees automatically require less data preprocessing since they convert all features into binary inputs before modeling.

Decision trees provide clear interpretability because the series of nested decision rules can be easily understood by humans.

Decision trees are inherently resistant to overfitting and always generalize well to new data.

Decision trees eliminate the need for a training/testing split since their rules are universally applicable to all data points.

Decision trees are preferred because they consistently achieve higher prediction accuracy than methods like support vector machines and neural networks.