Random forests (Breiman, 2001, Machine Learning 45: 5–32) is a statistical- or machine-learning algorithm for prediction. In this article, we introduce a corresponding new command, rforest. We overview the random forest algorithm and illustrate its use with two examples: The first example is a classification problem that predicts whether a credit card holder will default on his or her debt. The second example is a regression problem that predicts the logscaled number of shares of online news articles. We conclude with a discussion that summarizes key points demonstrated in the examples.

中文翻译：

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统计学习的随机森林算法

随机森林（Breiman，2001，机器学习45：5–32）是一种用于预测的统计或机器学习算法。在本文中，我们介绍了一个相应的新命令rforest。我们概述了随机森林算法，并通过两个示例说明了其用法：第一个示例是一个分类问题，可预测信用卡持有人是否会拖欠其债务。第二个示例是一个回归问题，它预测了在线新闻文章的对数比例份额。我们以讨论结尾，总结了示例中展示的关键点。