中文说明：在机器学习中，随机森林是一个包含多个决策树的分类器， 并且其输出的类别是由个别树输出的类别的众数而定。 Leo Breiman和Adele Cutler发展出推论出随机森林的算法。该算法代码实现了基于随机森林模型的分类问题。
English Description：
In machine learning, random forest is a classifier with multiple decision trees, and the output category is determined by the mode of the output category of individual trees. Leo Breiman and Adele Cutler developed an algorithm for inferring random forests. The algorithm code realizes the classification problem based on random forest model.