Get started using SPM software by learning about key features and becoming familiar with many of the technical aspects of the software.
Learn about the SPM infrastructure and facilities.
Learn how to use the SPM application to gain insights into a dataset by viewing and generating descriptive statistics.
Learn about SPM command language and syntax.
CART® Modeling Engine
Become familiar with the CART modeling engine.
Learn about classification modeling using the CART modeling engine.
MARS® Modeling Engine
Become familiar with the MARS modeling engine.
Random Forests® Modeling Engine
Become familiar with the Random Forests modeling engine.
Learn about modeling basics using the Random Forests modeling engine.
TreeNet® Modeling Engine
Become familiar with the TreeNet modeling engine.
Additional User Guides
Get an overview of the built-in BASIC programming language available in the SPM suite.
Learn about the LOGIT module, a tool for logistic regression analysis – model building, model evaluation, prediction and scoring, and regression diagnostics.
Become familiar with automated data binning.
Become familiar with Generalized PathSeeker (GPS) and model interpretation.
Learn how to integrate TreeNet and GPS to achieve model compression and more.
For more learning resources, visit salford-systems.com
Click below to get started.
SPM’s CART® modeling engine is the ultimate classification tree that has revolutionized the field of advanced analytics, and inaugurated the current era of data science.
Random Forests® modeling engine leverages the power of multiple alternative analyses, randomization strategies, and ensemble learning.
The MARS® modeling engine is ideal for users who prefer results in a form similar to traditional regression while capturing essential nonlinearities and interactions.
TreeNet® Gradient Boosting is SPM’s most flexible and powerful data mining tool, capable of consistently generating extremely accurate models.
Contact us for pricing information.
Our University Program provides the SPM®, CART®, MARS®, TreeNet® , and Random Forests® modeling engines at significantly-reduced licensing fees to the educational community.
70+ pre-packaged scenarios, basically experiments, inspired by how leading model analysts structure their work.