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Random Forest A Classification And Regression Tool

Random Forest is an ensemble of unpruned classification or regression trees created by using bootstrap samples of the training data and random feature selection in tree induction. Prediction is made by aggregating majority vote or averaging the predictions of the ensemble. We built predictive models for six cheminformatics data sets

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