英文翻译具有学术风格多用高级词汇不要漏翻译：将样本容量为N的样本有放回的抽取N次每次抽取1个。将选取的N个样本用来训练一个决策树作为决策树根节点处的样本。当每个样本有M个属性时在决策树的每个节点需要分裂时随机从这M个属性中选取出m个属性满足条件m M。然后从这m个属性中采用某种策略来选择1个属性作为该节点的分裂属性。决策树形成过程中每个节点都要按照上述步骤分裂一直到不能够再分裂为止。通过构建大量

A sample of size N is randomly drawn with replacement N times, with one sample drawn each time. The chosen N samples are used to train a decision tree, which serves as the root node of the tree. Each sample contains M attributes, and when a node in the tree needs to be split, m attributes are randomly selected from the M attributes, where m << M. Then, using a certain strategy, one attribute is chosen from the m attributes as the splitting attribute for that node. This process of splitting continues at each node until no further splitting is possible. By constructing a large number of decision trees, a random forest is created to fit a regression model for predicting sailboat prices based on the aforementioned influencing factors. The steps involved in this process are illustrated in the diagram below.