Simply Salford Blog

Random Forests: The Machine Learning Algorithm

Posted by Salford Systems on Thu, Mar 3, 2016 @ 01:56 PM

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

Webinar Recap: 3 Ways to Improve Regression, Part 1

Posted by Kaitlin Onthank on Thu, Jan 21, 2016 @ 12:19 PM

Did you miss our webinar yesterday? It's never too late to register to get the recording

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Topics: RandomForests, Random Forests, stochastic gradient boosting, Nonlinear Regression, Regression

A Quick Overview of Unsupervised Learning in Salford SPM

Posted by Dan Steinberg on Tue, Feb 4, 2014 @ 09:30 AM

The SPM Salford Predictive Modeler software suite offers several tools for clustering and segmentation including CART,  Random Forests, and a classical statistical module CLUSTER. In this article we illustrate the use of these tools with the well known Boston Housing data set (pertaining to 1970s housing prices and neighborhood characteristics in the greater Boston area).  

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Topics: CART, SPM, unsupervised learning, Random Forests, Cluster Analysis

Random Forests OOB vs. Test Partition Performance

Posted by Dan Steinberg on Thu, May 2, 2013 @ 08:23 AM

Random Forests is the unique learning machine that has no need of an explicit test sample because of its use of bootstrap sampling for every tree. This ensures that every tree in the forest is built on about 63% of the available data, leaving the remaining approximately 37% for testing [the OOB (out-of-bag) data].  

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Topics: Random Forests, OOB, Sampling

Supercharging Predictive Modeling: A Beginners' Perspective

Posted by Heather Hinman on Fri, Apr 26, 2013 @ 09:05 AM

Salford Systems recently attended the Predictive Analytics World (PAW) conference in San Francisco as a sponsor. Manning the exhibit booth was yours truly, and I was fortunate to meet many analysts, predictive modelers, and data scientists of all experience levels. Even though this is always an entertaining break from every-day office life, my favorite part of the conference was being able to participate in a workshop offered by Dean Abbott, President of Abbott Analytics, entitled "Supercharging Prediction: Hands-On With Ensembles Models."

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Topics: TreeNet, Random Forests, beginner, Battery, stochastic gradient boosting

Discussion Questions from "The Evolution of Regression"

Posted by Heather Hinman on Thu, Apr 4, 2013 @ 02:30 PM

During the course of Salford Systems' 4-part webinar series "The Evolution of Regression," some very good questions from the audience have made their way to presenter Dr. Dan Steinberg, CEO and Founder. Here are a few responses that we thought would benefit everyone who is interested in regression, nonlinear regression, regularized regression, decision tree ensembles and post-processing techniques.

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Topics: TreeNet, MARS, Random Forests, Webinar, Regression, GPS, SPM 7

Utilizing Variable Importance in Random Forests [Mini Tutorial]

Posted by Dan Steinberg on Fri, Feb 22, 2013 @ 12:29 PM

(Applies to all versions of Salford Systems Random Forests and SPM. Some controls discussed below are new to SPM 7.0)

Many analysts highly value the ability to rank predictors in a database. It comes down to knowing what matters and what does not. Especially when working with a large number of variables being able to focus on a relatively small number aids decision makers to have confidence in communication with others. In the SPM software suite every one of Salford Systems’ data mining engines offers a plausible ranking of the available predictors, but Random Forests offers a unique twist on this concept.

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Topics: Random Forests, SPM 7, Variable Importance, Tutorial

Interview with Adele Cutler: Remembering Leo Breiman

Posted by Heather Hinman on Wed, Jan 30, 2013 @ 07:48 AM

Salford Systems has maintained long-term relationships with data mining visionaries like Random Forests co-developer Dr. Adele Cutler. In a recent visit to San Diego, she spent time with Salford Systems' staff discussing plans for Random Forests future developments, offering an introductory session on Random Forests, and sharing some personal memories of her time working with Dr. Leo Breiman on Random Forests.

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Topics: Random Forests, Adele Cutler

An Introduction to Random Forests By Dr. Adele Cutler

Posted by Heather Hinman on Thu, Jan 24, 2013 @ 07:53 AM

Random Forests Co-Developer Dr. Adele Cutler visited Salford Systems in San Diego, CA. While she was visiting, she gave the staff a few quick presentations and interviews related to Random Forests, including what it was like working along side Dr. Leo Breiman.
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Topics: Leo Breiman, Biomedical Application, Random Forests, microarray data, Adele Cutler

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