Random Forest

Recently, researchers used random forest models to analyse chemical fingerprints in ancient rocks and identify whether certain molecules came from life or natural processes.

• The term “random forest” refers to a machine-learning method that makes predictions by combining the outputs of many simpler models called decision trees.
• It means that instead of relying on a single tree which can overfit the data, the algorithm builds many trees, each trained on slightly different random samples, and then aggregates their answers.
• In classification tasks, each tree votes and the forest picks the most common answer; in regression tasks, it averages the numerical ....