WPS Analytics Decision Tree

WPS Analytics Decision Trees are a powerful segmentation tool for modellers & business analysts to visually exploring the relationships between predictors and the target variable.

Enable you to speed up your data profiling by allowing you to quickly identify & rank variables in order of predictability & identify segments to use in your predictive model.

Decision Trees are an excellent tool for non-linear data and can handle both numerical & categoric data.

Classification or regression trees can be used depending on the data type and the problem you are working with.

WPS Analytics Decision trees can be grown using different growth algorithms (C4.5, CART, or BRT) or manually grown by the user using an intuitive & easy to use interface. The WPS decision trees put the user in full control to explore their data interactively or using the algorithm.

All nodes in the tree display summary statistics and are colour coded to clearly illustrate results. Automatically grow an end-to-end tree or grow one level at a time with complete control. ​

Once you have your tree, extract results and tables to use in other third-party documents or presentations and extract error-free code defining the end-to-end tree for deployment into production.