作为新兴起的、高度灵活的一种机器学习算法，随机森林（Random Forest，简称RF）拥有广泛的应用前景，从市场营销到医疗保健保险，既可以用来做市场营销模拟的建模，统计客户来源，保留和流失，也可用来预测疾病的风险和病患者的易感性。(As a new, highly flexible a machine learning algorithm, random forest (Random Forest, referred to as RF) has broad application prospects, from marketing to health insurance, not only can be used for modeling marketing simulation, statistical customer source, retention and loss, can also be used to predict the risk of disease susceptibility and patients.)