random forests
Random forests is a machine learning algorithm that creates multiple decision trees, each trained on different subsets of the data, and then combines their outputs to make a prediction. It is a powerful and versatile method for classification and regression problems, and is known for its ability to handle high-dimensional datasets and noisy data. Random forests are widely used in a variety of industries, including finance, marketing, and healthcare.
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