Tutorial 1: Acquiring a dataset.
This tutorial gives information about how to create your own dataset or how to load an existing dataset.
Tutorial 2: Building a Decision Tree
This tutorial covers how to build a decision tree from your dataset.
Tutorial 3: Testing a Decision Tree
This tutorial covers how to test your decision tree.
Tutorial 4: Splitting Options
This tutorial gives a description of the different splitting algorithms used to build your decision tree.
|Main Tools: Graph Searching | Consistency for CSP | SLS for CSP | Deduction | Belief and Decision Networks | Decision Trees | Neural Networks | STRIPS to CSP|