Simply Salford Blog

Random Forests: The Machine Learning Algorithm

Posted by Salford Systems on Thu, Mar 3, 2016 @ 10:56 AM

We recently came across the article, "Random Forest---the go-to machine learning algorithm" from TechWorld Australia.

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Topics: RandomForests, Random Forest, Random Forests, bootstrap sampling, classification, Regression, classification trees, machine learning, regression trees

Scoring RandomForests Models: Applying Models to New Data [tutorial]

Posted by Dan Steinberg on Fri, Oct 11, 2013 @ 05:28 AM

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.

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Topics: SPM, Random Forest, model scoring

How to Build a Random Forests Model Using TreeNet [video tutorial]

Posted by Heather Hinman on Tue, May 21, 2013 @ 08:48 AM

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.

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Topics: TreeNet, Random Forest, stochastic gradient boosting, Webinar, Tutorial

Random Forest, are they all created equal?

Posted by Heather Hinman on Tue, Jan 8, 2013 @ 09:54 AM

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?

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Topics: Random Forest, Biomedical Application