Forests are the largest terrestrial ecosystems and play a crucial role in the global carbon cycle 1,2,3,4. In 2020, China announced its goal to peak carbon emissions by 2030 and achieve carbon ...

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 ...

Grassland ecosystems, as one of the major ecosystems on the Earth’s surface, account for about one-third of the total land area and play an essential role in maintaining the functions and processes of ...

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 ...