We recently came across the article, "Random Forest---the go-to machine learning algorithm" from TechWorld Australia.Read More
Occasionally users ask us how to make use of a model they have just built, and specifically, how to generate predictions from model. In this note we will discuss RandomForests models although the general ideas are relevant for any SPM generated model.
In SPM v7.0 (Salford Systems' latest product release) one of the new features available in the TreeNet component (Ultra version) is the ability to build Random Forests models. By building the model in the TreeNet engine, you're able to take advantage of the powerful technology offered by gradient-boosted trees.
Data mining algorithms are now extremely popular in the everyday analyst's tookit. Take Random Forest for example, or some may refer to it as RanomForests, RandomForest, Random Forests, RF, etc. It's all the same thing, or is it?