Random forest
Tree-based ensemble machine learning methods
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Random Forest (1) · Explainable AI (1) · XAI (1) · Circuit Representation (1) · arXiv (1) · Classifier (1) · Machine Learning Interpretability (1)
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Random forests or random decision forests is an ensemble learning method for classification, regression and other tasks that works by creating a multitude of decision trees during training. For classification tasks, the output of the random forest is the class selected by most trees. For regression tasks, the output is the average of the predictions of the trees.
📰 Related News (1)
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🇺🇸 Circuit Representations of Random Forests with Applications to XAI
arXiv:2602.08362v1 Announce Type: new Abstract: We make three contributions in this paper. First, we present an approach for compiling a random fores...
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