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The random forest algorithm for statistical learning
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DOI：10.1177/1536867X20909688.png)
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Abstract
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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.
Keywords:
st0587
rforest
random decision forest algorithm
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