Salford Predictive Modeler
Because accuracy matters·salford-systems.com
Salford Predictive Modeler (SPM) is a suite of machine learning and predictive analytics software that includes the CART, MARS, TreeNet, and Random Forests modeling engines. It is used to build predictive, descriptive, and analytical models covering classification, regression, survival analysis, missing value analysis, data binning, and clustering/segmentation. The suite includes automation features with over 70 pre-packaged modeling scenarios to speed up model building and exploration. It is part of Minitab's integrated analytics product line.
What it's for
Features 15
- 70+ pre-packaged automation scenarios for model building
- Automated model exploration and refinement
- CART classification tree engine
- Classification modeling
- Clustering/segmentation
- Data binning
- Enhanced algorithms supporting massive datasets
- Logistic Regression support
- MARS regression-style modeling engine
- Missing value analysis
- Packaged results from alternative modeling strategies for review
- Random Forests ensemble modeling engine
- Regression modeling
- Survival analysis
- TreeNet Gradient Boosting engine
Pricing
Pricing is only available by contacting the vendor; no published plan prices.
University Program offers SPM, CART, MARS, TreeNet, and Random Forests engines at significantly-reduced licensing fees for the educational community.