Tree height is an important indicator of a forest's maturity and overall health. Forest restoration projects rely on tree height as a predictor and measurement of success, but forecasting a forest's ...

A tree can sequester quite a bit of carbon, and forests can sequester and store quite a bit more, but knowing exactly how much is important for many reasons, from planning and management decisions to ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...

ProPublica is a nonprofit newsroom that investigates abuses of power. Sign up to receive our biggest stories as soon as they’re published. This year at ProPublica, we’ve paired computer modeling with ...

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...