Here we provide a brief overview and objectives of our user guides.
This guide provides a detailed description of classification modeling in CART.
This guide provides a brief introduction to CART.
This guide provides an overview of the built-in BASIC programming language available within SPM
This guide provides an introduction into RandomForests Modeling Basics.
Describes the LOGIT module, a tool for logistic regression analysis - model building, model evaluation, prediction and scoring, regression diagnostics.
This guide provides a brief introduction to GPS as well as a guide insight for model interpretation.
This describes facilities in SPM to gain initial insights about a dataset by viewing and generating descriptive statistics
Describes the common infrastructure of SPM application and introduces facilities that are used.
This guide provides a brief introduction to MARS.
This guide provides a brief introduction to Random Forests®.
This guide describes the TreeNet product and illustrates some practical examples of its basic usage and approach.
This guide provides a detailed introduction to the automated binning of data.
This guide elaborates on powerful ways to combine the TreeNet and GPS engines to achieve model compression and more.
This guide provides a command language reference and syntax. SPM has two alternative modes of control in, command-line and batch.