random forest
In machine learning, a random forest is an ML algorithm which implements ensemble learning. By using random forests, we aggregate multiple decision tree ML models and select the optimal classifier or predictor from them.
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randomized search
In machine learning, randomized search is a hyperparameter optimization method which takes a distribution of parameter combinations, trains a model using a random sampling of those combinations, and then returns the combination that best optimizes a specified evaluation metric.