SALFORD PREDICTIVE MODELER
Get started using SPM software by learning about key features and becoming familiar with many of the technical aspects of the software.
Introducing the SPM software Infrastructure
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.
SPM 8.3 Command Reference
Learn about SPM command language and syntax.
Additional User Guides
Guide to the BASIC Programming Language.
Get an overview of the built-in BASIC programming language available in the SPM suite.
Introducing LOGIT Modeling
Learn about the LOGIT module, a tool for logistic regression analysis – model building, model evaluation, prediction and scoring, and regression diagnostics.
Introduction to Data Binning
Become familiar with automated data binning.
Introducing Generalized PathSeeker
Become familiar with Generalized PathSeeker (GPS) and model interpretation.
Model Compression via ISLE and RuleLearner
Learn how to integrate TreeNet and GPS to achieve model compression and more.
WHAT WE DO
Minitab products help businesses increase efficiency and
improve quality through smart data analysis.
Salford Predictive Modeler® 8
Minitab’s Integrated Suite of Machine Learning Software
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® is a modeling engine that 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.