satunnaismetsiä
Satunnaismetsiä, also known as "random forest" in English, is a machine learning technique used for classification, regression, and other tasks. It operates by constructing multiple decision trees during training and outputting the class that is the mode of the classes (classification) or mean prediction (regression) of the individual trees. The method combines the outputs of multiple trees to improve the overall accuracy and robustness of the model.
The random forest algorithm was developed by Leo Breiman and Adele Cutler in 2001. It is an
One of the key features of random forests is the use of randomness in the construction of
Random forests have been widely used in various applications, including bioinformatics, finance, and image recognition. They