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The proposed method, called Isolation Forest or iFor-est, builds an ensemble of iTrees for a given data set, then In a data-induced random tree, partitioning of Understanding Random Forests From Theory to Practice Back to our example Method Trees MSE CART 1 1.055 Random Forest 50 0.517 Extra-Trees 50 0.507 Combining

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