A random forest is a machine learning algorithm that is used for classification and regression tasks. It consists of multiple decision trees and merges them together to get a more accurate and stable prediction. In the context of histology, random forests can be applied to analyze and interpret complex biological data, such as identifying patterns in tissue samples or classifying different types of cells.
