The random forest algorithm for statistical learning
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Abstract
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.
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1,254
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2Topics & keywords
Topics
Keywords
- Random forest
- Computer science
- Key (lock)
- Artificial intelligence
- Credit card
- Machine learning
- Algorithm
- Statistical learning
UN Sustainable Development Goals
- Life in Land
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