TreeNet
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Salford LOGIT™

LOGIT is a comprehensive package for logistic regression analysis, providing tools for model building, model evaluation, prediction, simulation, hypothesis testing and regression diagnostics. A fast, full-featured software package, LOGIT is capable of handling an unlimited number of cases and includes special tools for discrete choice models.

View the The Hybrid CART®-Logit Model in Classification and Data Mining presentation by Dr. Dan Steinberg explaining the benefits of using Hybrid CART® with Logit.

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MARS - Multivariate Adaptive Regression Splines®

MARS

Automatic Non-Linear Regression
MARS software is ideal for users who prefer results in a form similar to traditional regression while capturing essential nonlinearities and interactions. The MARS approach to regression modeling effectively uncovers important data patterns and relationships that are difficult, if not impossible, for other regression methods to reveal. MARS builds its model by piecing together a series of straight lines with each allowed its own slope. This permits MARS to trace out any pattern detected in the data.
High-Quality Regression and Classification
The MARS model is designed to predict numeric outcomes such as the average monthly bill of a mobile phone customer or the amount that a shopper is expected to spend in a web site visit. MARS is also capable of producing high quality classification models for a yes/no outcome. MARS performs variable selection, variable transformation, interaction detection, and self-testing, all automatically and at high speed.
High-Performance Results
Areas where MARS has exhibited very high-performance results include forecasting electricity demand for power generating companies, relating customer satisfaction scores to the engineering specifications of products, and presence/absence modeling in geographical information systems (GIS).

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Product Versions

SPM® [8.x] Product Versions

Ultra
The best of the best. For the modeler who must have access to leading edge technology available and fastest run times including major advances in ensemble modeling, interaction detection and automation. ULTRA also provides advance access to new features as they become available in frequent upgrades.
ProEx
For the modeler who needs cutting-edge data mining technology, including extensive automation of workflows typical for experienced data analysts and dozens of extensions to the Salford data mining engines.
Pro
A true predictive modeling workbench designed for the professional data miner. Variety of supporting conventional statistical modeling tools, programming language, reporting services, and a modest selection of workflow automation options.
Basic
Literally the basics. Salford Systems award winning data mining engines without extensions or automation or surrounding statistical services, programming language, and sophisticated reporting. Designed for small budgets while still delivering our world famous engines

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Price Quote Request

Price Quote

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TreeNet®

TreeNet

TreeNet Introduction

Predictive Power:
TreeNet is Salford's most flexible and powerful data mining tool, capable of consistently generating extremely accurate models. TreeNet’s level of accuracy is usually not attainable by single models or by ensembles such as bagging or conventional boosting. TreeNet demonstrates remarkable performance for both regression and classification. The algorithm typically generates thousands of small decision trees built in a sequential error–correcting process to converge to an accurate model. Tree Net has been responsible for the majority of Salford’s modeling competition awards.
Supreme Accuracy:
TreeNet's robustness extends to data contaminated with erroneous target labels. This type of data error can be very challenging for conventional data mining methods and will be catastrophic for conventional boosting. In contrast, TreeNet is generally immune to such errors as it dynamically rejects training data points too much at variance with the existing model. In addition, TreeNet adds the advantage of a degree of accuracy usually not attainable by a single model or by ensembles such as bagging or conventional boosting. As opposed to neural networks, TreeNet is not sensitive to data errors and needs no time-consuming data preparation, preprocessing or imputation of missing values.
Advanced Features:
Interaction detection establishes whether interactions of any kind are needed in a predictive model, and is a search engine to discover specifically which interactions are required. The interaction detection system not only helps improve model performance (sometimes dramatically) but also assists in the discovery of valuable new segments and previously unrecognized patterns.

Technical Articles by Jerome Friedman are also available for download:

 

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Product Versions

SPM® [8.x] Product Versions

Ultra
The best of the best. For the modeler who must have access to leading edge technology available and fastest run times including major advances in ensemble modeling, interaction detection and automation. ULTRA also provides advance access to new features as they become available in frequent upgrades.
ProEx
For the modeler who needs cutting-edge data mining technology, including extensive automation of workflows typical for experienced data analysts and dozens of extensions to the Salford data mining engines.
Pro
A true predictive modeling workbench designed for the professional data miner. Variety of supporting conventional statistical modeling tools, programming language, reporting services, and a modest selection of workflow automation options.
Basic
Literally the basics. Salford Systems award winning data mining engines without extensions or automation or surrounding statistical services, programming language, and sophisticated reporting. Designed for small budgets while still delivering our world famous engines

[J#48:1603]

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Get In Touch With Us

Contact Us

9685 Via Excelencia, Suite 208, San Diego, CA 92126
Ph: 619-543-8880
Fax: 619-543-8888
info (at) salford-systems (dot) com