Random forest
lastmod 2024-04-30created 2024-04-243 edits
In machine learning, a random forest is a type of ensemble learning method used for classification, regression analysis, and other tasks. It works by constructing multiple decision trees during training and outputting the class (classification) or mean prediction (regression analysis) of those trees.
A random forest is an ensemble method that trains multiple decision trees. Random forests are used for a variety of problems such as detection, classification, and regression.