## Random Forest Confidence and Prediction Intervals

Random forests are known to provide excellent point predictions in a variety of contexts, but methods for presenting accurate assessments of the uncertainty associated with random forest predictions are lacking. Baker Center personnel (Zimmerman, Nordman, and Nettleton) are working to develop a new approach for constructing intervals that accurately reflect the uncertainty of random forests predictions. A random forest confidence interval provides a range of values that contains (with a specified probability) the mean of the response variable for given values of the predictor va **Read more about Random Forest Confidence and Prediction Intervals**