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On Extreme Pruning of Random Forest Ensembles for Real-time Predictive Applications
Random Forest (RF) is an ensemble supervised machine learning technique that was developed by Breiman over a decade ago.
An Outlier Detection-based Tree Selection Approach to Extreme Pruning of Random Forests
Many researchers, however, believe that there is still room for enhancing and improving its performance in terms of predictive accuracy.
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