A decision tree is a supervised machine learning tool that can be used to classify or predict data based on how questions from the past have been answered. The model is supervised learning in nature, which means that it is trained and tested on data sets that contain the desired categorization. The decision tree might not always offer a simple solution or choice. Instead, it might give the data scientist choices so they can choose wisely on their own. Decision trees mimic human thought processes, making it generally simple for data scientists to comprehend and interpret the findings.