Ensemble Methods (EM for short) are a popular set of algorithms that improve classification or regression by combining the predictions of several base models. The combined prediction is usually better compared to the prediction of any single constituent learner.
L'articolo Ensemble Methods: Random Forests proviene da Addfor Artificial Intelligence for Engineering.
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